The Qwen real-time speech synthesis model provides low-latency Text-to-Speech (TTS) with streaming text input and audio output. It offers a variety of human-like voices, supports multiple languages and dialects, and maintains a consistent voice across different languages. The model also automatically adjusts its tone and smoothly processes complex text.
Core features
Generates high-fidelity, real-time speech and supports natural-sounding voices in multiple languages, including Chinese and English.
Provides two voice customization methods: voice cloning (cloning a voice from reference audio) and voice design (generating a voice from a text description) to quickly create custom voices.
Supports streaming input and output for low-latency responses in real-time interactive scenarios.
Enables fine-grained control over speech performance by adjusting speed, pitch, volume, and bitrate.
Compatible with major audio formats and supports audio output with a sample rate of up to 48 kHz.
Availability
Supported models:
International
In the international deployment mode, endpoints and data storage are located in the Singapore region, and model inference compute resources are dynamically scheduled globally (excluding the Mainland China).
When you call the following models, select an API Key from the Singapore region:
Qwen3-TTS-VD-Realtime: qwen3-tts-vd-realtime-2026-01-15 (latest snapshot), qwen3-tts-vd-realtime-2025-12-16 (snapshot)
Qwen3-TTS-VC-Realtime: qwen3-tts-vc-realtime-2026-01-15 (latest snapshot), qwen3-tts-vc-realtime-2025-11-27 (snapshot)
Qwen3-TTS-Flash-Realtime: qwen3-tts-flash-realtime (stable version, currently equivalent to qwen3-tts-flash-realtime-2025-11-27), qwen3-tts-flash-realtime-2025-11-27 (latest snapshot), qwen3-tts-flash-realtime-2025-09-18 (snapshot)
Mainland China
In the Mainland China deployment mode, the endpoint and data storage are located in the Beijing region, and the model inference compute resource is limited to the Mainland China.
When you call the following models, select an API Key from the Beijing region:
Qwen3-TTS-VD-Realtime: qwen3-tts-vd-realtime-2026-01-15 (latest snapshot), qwen3-tts-vd-realtime-2025-12-16 (snapshot)
Qwen3-TTS-VC-Realtime: qwen3-tts-vc-realtime-2026-01-15 (latest snapshot), qwen3-tts-vc-realtime-2025-11-27 (snapshot)
Qwen3-TTS-Flash-Realtime: qwen3-tts-flash-realtime (stable version, currently equivalent to qwen3-tts-flash-realtime-2025-11-27), qwen3-tts-flash-realtime-2025-11-27 (latest snapshot), qwen3-tts-flash-realtime-2025-09-18 (snapshot)
Qwen-TTS-Realtime: qwen-tts-realtime (stable version, currently equivalent to qwen-tts-realtime-2025-07-15), qwen-tts-realtime-latest (latest version, currently equivalent to qwen-tts-realtime-2025-07-15), qwen-tts-realtime-2025-07-15 (snapshot)
For more information, see Models.
Model selection
Scenario | Recommended model | Reason | Notes |
Customize voices for a brand image, exclusive use, or to extend system voices (based on text description) | qwen3-tts-vd-realtime-2026-01-15 | Supports voice design. This method creates custom voices from text descriptions without requiring audio samples and is ideal for designing a unique brand voice from scratch. | Does not support system voices or voice cloning. |
Customize voices for a brand image, exclusive use, or to extend system voices (based on audio samples) | qwen3-tts-vc-realtime-2026-01-15 | Supports voice cloning. This method quickly clones voices from real audio samples to create a human-like brand voiceprint, ensuring high fidelity and consistency. | System voices or voice design is not supported. |
Intelligent customer service and conversational bots | qwen3-tts-flash-realtime-2025-11-27 | Supports streaming input and output. Adjustable speed and pitch provide a natural interactive experience. The multi-format audio output adapts to different devices. | Only system voices are supported. Voice cloning or voice design is not supported. |
Multilingual content broadcasting | qwen3-tts-flash-realtime-2025-11-27 | Supports multiple languages and Chinese dialects to meet global content delivery needs. | Only system voices are supported. Voice cloning or voice design is not supported. |
Audio reading and content production | qwen3-tts-flash-realtime-2025-11-27 | Adjustable volume, speed, and pitch meet the fine-grained production requirements for content, such as audiobooks and podcasts. | Only system voices are supported. Neither voice cloning nor voice design is supported. |
E-commerce livestreaming and short video dubbing | qwen3-tts-flash-realtime-2025-11-27 | Supports compressed formats such as MP3 and Opus, which are suitable for bandwidth-limited scenarios. Adjustable parameters meet the needs of different dubbing styles. | Only system voices are supported. Voice cloning and voice design are not supported. |
For more information, see Model feature comparison.
Getting started
Before you run the code, create and configure an API key. If you use the SDK to call the service, install the latest version of the DashScope SDK.
Synthesize speech using a system voice
The following example shows how to use a system voice for speech synthesis. For more information, see Supported voices.
Use the DashScope SDK
Python
server_commit mode
import os
import base64
import threading
import time
import dashscope
from dashscope.audio.qwen_tts_realtime import *
qwen_tts_realtime: QwenTtsRealtime = None
text_to_synthesize = [
'Right? I really love this kind of supermarket,',
'especially during the Chinese New Year.',
'Going to the supermarket',
'makes me feel',
'super, super happy!',
'I want to buy so many things!'
]
DO_VIDEO_TEST = False
def init_dashscope_api_key():
"""
Set your DashScope API-key. More information:
https://github.com/aliyun/alibabacloud-bailian-speech-demo/blob/master/PREREQUISITES.md
"""
# The API keys for the Singapore and Beijing regions are different. To get an API key, visit: https://www.alibabacloud.com/help/en/model-studio/get-api-key
if 'DASHSCOPE_API_KEY' in os.environ:
dashscope.api_key = os.environ[
'DASHSCOPE_API_KEY'] # load API-key from environment variable DASHSCOPE_API_KEY
else:
dashscope.api_key = 'your-dashscope-api-key' # set API-key manually
class MyCallback(QwenTtsRealtimeCallback):
def __init__(self):
self.complete_event = threading.Event()
self.file = open('result_24k.pcm', 'wb')
def on_open(self) -> None:
print('connection opened, init player')
def on_close(self, close_status_code, close_msg) -> None:
self.file.close()
print('connection closed with code: {}, msg: {}, destroy player'.format(close_status_code, close_msg))
def on_event(self, response: str) -> None:
try:
global qwen_tts_realtime
type = response['type']
if 'session.created' == type:
print('start session: {}'.format(response['session']['id']))
if 'response.audio.delta' == type:
recv_audio_b64 = response['delta']
self.file.write(base64.b64decode(recv_audio_b64))
if 'response.done' == type:
print(f'response {qwen_tts_realtime.get_last_response_id()} done')
if 'session.finished' == type:
print('session finished')
self.complete_event.set()
except Exception as e:
print('[Error] {}'.format(e))
return
def wait_for_finished(self):
self.complete_event.wait()
if __name__ == '__main__':
init_dashscope_api_key()
print('Initializing ...')
callback = MyCallback()
qwen_tts_realtime = QwenTtsRealtime(
model='qwen3-tts-flash-realtime',
callback=callback,
# The following URL is for the Singapore region. If you use a model in the Beijing region, replace the URL with: wss://dashscope.aliyuncs.com/api-ws/v1/realtime
url='wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime'
)
qwen_tts_realtime.connect()
qwen_tts_realtime.update_session(
voice = 'Cherry',
response_format = AudioFormat.PCM_24000HZ_MONO_16BIT,
mode = 'server_commit'
)
for text_chunk in text_to_synthesize:
print(f'send text: {text_chunk}')
qwen_tts_realtime.append_text(text_chunk)
time.sleep(0.1)
qwen_tts_realtime.finish()
callback.wait_for_finished()
print('[Metric] session: {}, first audio delay: {}'.format(
qwen_tts_realtime.get_session_id(),
qwen_tts_realtime.get_first_audio_delay(),
))
commit mode
import base64
import os
import threading
import dashscope
from dashscope.audio.qwen_tts_realtime import *
qwen_tts_realtime: QwenTtsRealtime = None
text_to_synthesize = [
'This is the first sentence.',
'This is the second sentence.',
'This is the third sentence.',
]
DO_VIDEO_TEST = False
def init_dashscope_api_key():
"""
Set your DashScope API-key. More information:
https://github.com/aliyun/alibabacloud-bailian-speech-demo/blob/master/PREREQUISITES.md
"""
# The API keys for the Singapore and Beijing regions are different. To get an API key, visit: https://www.alibabacloud.com/help/en/model-studio/get-api-key
if 'DASHSCOPE_API_KEY' in os.environ:
dashscope.api_key = os.environ[
'DASHSCOPE_API_KEY'] # load API-key from environment variable DASHSCOPE_API_KEY
else:
dashscope.api_key = 'your-dashscope-api-key' # set API-key manually
class MyCallback(QwenTtsRealtimeCallback):
def __init__(self):
super().__init__()
self.response_counter = 0
self.complete_event = threading.Event()
self.file = open(f'result_{self.response_counter}_24k.pcm', 'wb')
def reset_event(self):
self.response_counter += 1
self.file = open(f'result_{self.response_counter}_24k.pcm', 'wb')
self.complete_event = threading.Event()
def on_open(self) -> None:
print('connection opened, init player')
def on_close(self, close_status_code, close_msg) -> None:
print('connection closed with code: {}, msg: {}, destroy player'.format(close_status_code, close_msg))
def on_event(self, response: str) -> None:
try:
global qwen_tts_realtime
type = response['type']
if 'session.created' == type:
print('start session: {}'.format(response['session']['id']))
if 'response.audio.delta' == type:
recv_audio_b64 = response['delta']
self.file.write(base64.b64decode(recv_audio_b64))
if 'response.done' == type:
print(f'response {qwen_tts_realtime.get_last_response_id()} done')
self.complete_event.set()
self.file.close()
if 'session.finished' == type:
print('session finished')
self.complete_event.set()
except Exception as e:
print('[Error] {}'.format(e))
return
def wait_for_response_done(self):
self.complete_event.wait()
if __name__ == '__main__':
init_dashscope_api_key()
print('Initializing ...')
callback = MyCallback()
qwen_tts_realtime = QwenTtsRealtime(
model='qwen3-tts-flash-realtime',
callback=callback,
# The following URL is for the Singapore region. If you use a model in the Beijing region, replace the URL with: wss://dashscope.aliyuncs.com/api-ws/v1/realtime
url='wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime'
)
qwen_tts_realtime.connect()
qwen_tts_realtime.update_session(
voice = 'Cherry',
response_format = AudioFormat.PCM_24000HZ_MONO_16BIT,
mode = 'commit'
)
print(f'send text: {text_to_synthesize[0]}')
qwen_tts_realtime.append_text(text_to_synthesize[0])
qwen_tts_realtime.commit()
callback.wait_for_response_done()
callback.reset_event()
print(f'send text: {text_to_synthesize[1]}')
qwen_tts_realtime.append_text(text_to_synthesize[1])
qwen_tts_realtime.commit()
callback.wait_for_response_done()
callback.reset_event()
print(f'send text: {text_to_synthesize[2]}')
qwen_tts_realtime.append_text(text_to_synthesize[2])
qwen_tts_realtime.commit()
callback.wait_for_response_done()
qwen_tts_realtime.finish()
print('[Metric] session: {}, first audio delay: {}'.format(
qwen_tts_realtime.get_session_id(),
qwen_tts_realtime.get_first_audio_delay(),
))Java
Server commit mode
// The Dashscope SDK version must be 2.21.16 or later.
import com.alibaba.dashscope.audio.qwen_tts_realtime.*;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.google.gson.JsonObject;
import javax.sound.sampled.LineUnavailableException;
import javax.sound.sampled.SourceDataLine;
import javax.sound.sampled.AudioFormat;
import javax.sound.sampled.DataLine;
import javax.sound.sampled.AudioSystem;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.util.Base64;
import java.util.Queue;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.atomic.AtomicReference;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicBoolean;
public class Main {
static String[] textToSynthesize = {
"Right? I especially love this kind of supermarket.",
"Especially during the New Year.",
"Going to the supermarket.",
"It just makes me feel.",
"Super, super happy!",
"I want to buy so many things!"
};
// Real-time PCM audio player class
public static class RealtimePcmPlayer {
private int sampleRate;
private SourceDataLine line;
private AudioFormat audioFormat;
private Thread decoderThread;
private Thread playerThread;
private AtomicBoolean stopped = new AtomicBoolean(false);
private Queue<String> b64AudioBuffer = new ConcurrentLinkedQueue<>();
private Queue<byte[]> RawAudioBuffer = new ConcurrentLinkedQueue<>();
// The constructor initializes the audio format and audio line.
public RealtimePcmPlayer(int sampleRate) throws LineUnavailableException {
this.sampleRate = sampleRate;
this.audioFormat = new AudioFormat(this.sampleRate, 16, 1, true, false);
DataLine.Info info = new DataLine.Info(SourceDataLine.class, audioFormat);
line = (SourceDataLine) AudioSystem.getLine(info);
line.open(audioFormat);
line.start();
decoderThread = new Thread(new Runnable() {
@Override
public void run() {
while (!stopped.get()) {
String b64Audio = b64AudioBuffer.poll();
if (b64Audio != null) {
byte[] rawAudio = Base64.getDecoder().decode(b64Audio);
RawAudioBuffer.add(rawAudio);
} else {
try {
Thread.sleep(100);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
}
}
}
});
playerThread = new Thread(new Runnable() {
@Override
public void run() {
while (!stopped.get()) {
byte[] rawAudio = RawAudioBuffer.poll();
if (rawAudio != null) {
try {
playChunk(rawAudio);
} catch (IOException e) {
throw new RuntimeException(e);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
} else {
try {
Thread.sleep(100);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
}
}
}
});
decoderThread.start();
playerThread.start();
}
// Play an audio chunk and block until playback is complete.
private void playChunk(byte[] chunk) throws IOException, InterruptedException {
if (chunk == null || chunk.length == 0) return;
int bytesWritten = 0;
while (bytesWritten < chunk.length) {
bytesWritten += line.write(chunk, bytesWritten, chunk.length - bytesWritten);
}
int audioLength = chunk.length / (this.sampleRate*2/1000);
// Wait for the audio in the buffer to finish playing.
Thread.sleep(audioLength - 10);
}
public void write(String b64Audio) {
b64AudioBuffer.add(b64Audio);
}
public void cancel() {
b64AudioBuffer.clear();
RawAudioBuffer.clear();
}
public void waitForComplete() throws InterruptedException {
while (!b64AudioBuffer.isEmpty() || !RawAudioBuffer.isEmpty()) {
Thread.sleep(100);
}
line.drain();
}
public void shutdown() throws InterruptedException {
stopped.set(true);
decoderThread.join();
playerThread.join();
if (line != null && line.isRunning()) {
line.drain();
line.close();
}
}
}
public static void main(String[] args) throws InterruptedException, LineUnavailableException, FileNotFoundException {
QwenTtsRealtimeParam param = QwenTtsRealtimeParam.builder()
.model("qwen3-tts-flash-realtime")
// The following URL is for the Singapore region. If you use a model in the China (Beijing) region, replace the URL with wss://dashscope.aliyuncs.com/api-ws/v1/realtime.
.url("wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime")
// The API keys for the Singapore and China (Beijing) regions are different. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key.
.apikey(System.getenv("DASHSCOPE_API_KEY"))
.build();
AtomicReference<CountDownLatch> completeLatch = new AtomicReference<>(new CountDownLatch(1));
final AtomicReference<QwenTtsRealtime> qwenTtsRef = new AtomicReference<>(null);
// Create a real-time audio player instance.
RealtimePcmPlayer audioPlayer = new RealtimePcmPlayer(24000);
QwenTtsRealtime qwenTtsRealtime = new QwenTtsRealtime(param, new QwenTtsRealtimeCallback() {
@Override
public void onOpen() {
// Handle the event when the connection is established.
}
@Override
public void onEvent(JsonObject message) {
String type = message.get("type").getAsString();
switch(type) {
case "session.created":
// Handle the event when the session is created.
break;
case "response.audio.delta":
String recvAudioB64 = message.get("delta").getAsString();
// Play the audio in real time.
audioPlayer.write(recvAudioB64);
break;
case "response.done":
// Handle the event when the response is complete.
break;
case "session.finished":
// Handle the event when the session is finished.
completeLatch.get().countDown();
default:
break;
}
}
@Override
public void onClose(int code, String reason) {
// Handle the event when the connection is closed.
}
});
qwenTtsRef.set(qwenTtsRealtime);
try {
qwenTtsRealtime.connect();
} catch (NoApiKeyException e) {
throw new RuntimeException(e);
}
QwenTtsRealtimeConfig config = QwenTtsRealtimeConfig.builder()
.voice("Cherry")
.responseFormat(QwenTtsRealtimeAudioFormat.PCM_24000HZ_MONO_16BIT)
.mode("server_commit")
.build();
qwenTtsRealtime.updateSession(config);
for (String text:textToSynthesize) {
qwenTtsRealtime.appendText(text);
Thread.sleep(100);
}
qwenTtsRealtime.finish();
completeLatch.get().await();
qwenTtsRealtime.close();
// Wait for the audio to finish playing and then shut down the player.
audioPlayer.waitForComplete();
audioPlayer.shutdown();
System.exit(0);
}
}Commit mode
// The Dashscope SDK version must be 2.21.16 or later.
import com.alibaba.dashscope.audio.qwen_tts_realtime.*;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.google.gson.JsonObject;
import javax.sound.sampled.LineUnavailableException;
import javax.sound.sampled.SourceDataLine;
import javax.sound.sampled.AudioFormat;
import javax.sound.sampled.DataLine;
import javax.sound.sampled.AudioSystem;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.util.Base64;
import java.util.Queue;
import java.util.Scanner;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.atomic.AtomicReference;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicBoolean;
public class commit {
// Real-time PCM audio player class
public static class RealtimePcmPlayer {
private int sampleRate;
private SourceDataLine line;
private AudioFormat audioFormat;
private Thread decoderThread;
private Thread playerThread;
private AtomicBoolean stopped = new AtomicBoolean(false);
private Queue<String> b64AudioBuffer = new ConcurrentLinkedQueue<>();
private Queue<byte[]> RawAudioBuffer = new ConcurrentLinkedQueue<>();
// The constructor initializes the audio format and audio line.
public RealtimePcmPlayer(int sampleRate) throws LineUnavailableException {
this.sampleRate = sampleRate;
this.audioFormat = new AudioFormat(this.sampleRate, 16, 1, true, false);
DataLine.Info info = new DataLine.Info(SourceDataLine.class, audioFormat);
line = (SourceDataLine) AudioSystem.getLine(info);
line.open(audioFormat);
line.start();
decoderThread = new Thread(new Runnable() {
@Override
public void run() {
while (!stopped.get()) {
String b64Audio = b64AudioBuffer.poll();
if (b64Audio != null) {
byte[] rawAudio = Base64.getDecoder().decode(b64Audio);
RawAudioBuffer.add(rawAudio);
} else {
try {
Thread.sleep(100);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
}
}
}
});
playerThread = new Thread(new Runnable() {
@Override
public void run() {
while (!stopped.get()) {
byte[] rawAudio = RawAudioBuffer.poll();
if (rawAudio != null) {
try {
playChunk(rawAudio);
} catch (IOException e) {
throw new RuntimeException(e);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
} else {
try {
Thread.sleep(100);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
}
}
}
});
decoderThread.start();
playerThread.start();
}
// Play an audio chunk and block until playback is complete.
private void playChunk(byte[] chunk) throws IOException, InterruptedException {
if (chunk == null || chunk.length == 0) return;
int bytesWritten = 0;
while (bytesWritten < chunk.length) {
bytesWritten += line.write(chunk, bytesWritten, chunk.length - bytesWritten);
}
int audioLength = chunk.length / (this.sampleRate*2/1000);
// Wait for the audio in the buffer to finish playing.
Thread.sleep(audioLength - 10);
}
public void write(String b64Audio) {
b64AudioBuffer.add(b64Audio);
}
public void cancel() {
b64AudioBuffer.clear();
RawAudioBuffer.clear();
}
public void waitForComplete() throws InterruptedException {
// Wait for all audio data in the buffers to finish playing.
while (!b64AudioBuffer.isEmpty() || !RawAudioBuffer.isEmpty()) {
Thread.sleep(100);
}
// Wait for the audio line to finish playing.
line.drain();
}
public void shutdown() throws InterruptedException {
stopped.set(true);
decoderThread.join();
playerThread.join();
if (line != null && line.isRunning()) {
line.drain();
line.close();
}
}
}
public static void main(String[] args) throws InterruptedException, LineUnavailableException, FileNotFoundException {
Scanner scanner = new Scanner(System.in);
QwenTtsRealtimeParam param = QwenTtsRealtimeParam.builder()
.model("qwen3-tts-flash-realtime")
// The following URL is for the Singapore region. If you use a model in the China (Beijing) region, replace the URL with wss://dashscope.aliyuncs.com/api-ws/v1/realtime.
.url("wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime")
// The API keys for the Singapore and China (Beijing) regions are different. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key.
.apikey(System.getenv("DASHSCOPE_API_KEY"))
.build();
AtomicReference<CountDownLatch> completeLatch = new AtomicReference<>(new CountDownLatch(1));
// Create a real-time player instance.
RealtimePcmPlayer audioPlayer = new RealtimePcmPlayer(24000);
final AtomicReference<QwenTtsRealtime> qwenTtsRef = new AtomicReference<>(null);
QwenTtsRealtime qwenTtsRealtime = new QwenTtsRealtime(param, new QwenTtsRealtimeCallback() {
// File file = new File("result_24k.pcm");
// FileOutputStream fos = new FileOutputStream(file);
@Override
public void onOpen() {
System.out.println("connection opened");
System.out.println("Enter text and press Enter to send. Enter 'quit' to exit the program.");
}
@Override
public void onEvent(JsonObject message) {
String type = message.get("type").getAsString();
switch(type) {
case "session.created":
System.out.println("start session: " + message.get("session").getAsJsonObject().get("id").getAsString());
break;
case "response.audio.delta":
String recvAudioB64 = message.get("delta").getAsString();
byte[] rawAudio = Base64.getDecoder().decode(recvAudioB64);
// fos.write(rawAudio);
// Play the audio in real time.
audioPlayer.write(recvAudioB64);
break;
case "response.done":
System.out.println("response done");
// Wait for the audio to finish playing.
try {
audioPlayer.waitForComplete();
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
// Prepare for the next input.
completeLatch.get().countDown();
break;
case "session.finished":
System.out.println("session finished");
if (qwenTtsRef.get() != null) {
System.out.println("[Metric] response: " + qwenTtsRef.get().getResponseId() +
", first audio delay: " + qwenTtsRef.get().getFirstAudioDelay() + " ms");
}
completeLatch.get().countDown();
default:
break;
}
}
@Override
public void onClose(int code, String reason) {
System.out.println("connection closed code: " + code + ", reason: " + reason);
try {
// fos.close();
// Wait for playback to complete and then shut down the player.
audioPlayer.waitForComplete();
audioPlayer.shutdown();
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
}
});
qwenTtsRef.set(qwenTtsRealtime);
try {
qwenTtsRealtime.connect();
} catch (NoApiKeyException e) {
throw new RuntimeException(e);
}
QwenTtsRealtimeConfig config = QwenTtsRealtimeConfig.builder()
.voice("Cherry")
.responseFormat(QwenTtsRealtimeAudioFormat.PCM_24000HZ_MONO_16BIT)
.mode("commit")
.build();
qwenTtsRealtime.updateSession(config);
// Loop to read user input.
while (true) {
System.out.print("Enter the text to synthesize: ");
String text = scanner.nextLine();
// If the user enters 'quit', exit the program.
if ("quit".equalsIgnoreCase(text.trim())) {
System.out.println("Closing the connection...");
qwenTtsRealtime.finish();
completeLatch.get().await();
break;
}
// If the user input is empty, skip.
if (text.trim().isEmpty()) {
continue;
}
// Reinitialize the countdown latch.
completeLatch.set(new CountDownLatch(1));
// Send the text.
qwenTtsRealtime.appendText(text);
qwenTtsRealtime.commit();
// Wait for the current synthesis to complete.
completeLatch.get().await();
}
// Clean up resources.
audioPlayer.waitForComplete();
audioPlayer.shutdown();
scanner.close();
System.exit(0);
}
}Use the WebSocket API
Prepare the runtime environment
Install pyaudio for your operating system.
macOS
brew install portaudio && pip install pyaudioDebian/Ubuntu
sudo apt-get install python3-pyaudio or pip install pyaudioCentOS
sudo yum install -y portaudio portaudio-devel && pip install pyaudioWindows
pip install pyaudioAfter the installation, install the WebSocket dependencies using pip:
pip install websocket-client==1.8.0 websocketsCreate a client
Create a local Python file named
tts_realtime_client.pyand copy the following code into the file:Select a speech synthesis mode
The Realtime API supports the following two modes:
server_commit mode
The client only sends text. The server intelligently determines how to segment the text and when to synthesize it. This mode is suitable for low-latency scenarios where you do not need to manually control the synthesis timing, such as GPS navigation.
commit mode
The client first adds text to a buffer and then actively triggers the server to synthesize the specified text. This mode is suitable for scenarios that require fine-grained control over sentence breaks and pauses, such as news broadcasting.
server_commit mode
In the same directory as
tts_realtime_client.py, create another Python file namedserver_commit.py, and copy the following code into the file:Run
server_commit.pyto hear the audio generated in real time by the Realtime API.commit mode
In the same directory as
tts_realtime_client.py, create another Python file namedcommit.py, and copy the following code into the file:Run
commit.py. You can enter text for synthesis multiple times. To hear the audio returned by the Realtime API, press Enter on an empty line.
Synthesize speech using a cloned voice
The voice cloning service does not provide an audio preview. To listen to and evaluate a cloned voice, you must apply it to speech synthesis.
The following example demonstrates how to use a custom voice generated by voice cloning for speech synthesis, producing an output that is highly similar to the original voice. This example is based on the sample code for the server_commit mode of the DashScope SDK and replaces the voice parameter with the custom cloned voice.
Key principle: The model used for voice cloning (
target_model) must be the same as the model used for the subsequent speech synthesis (model). Otherwise, the synthesis fails.This example uses the local audio file
voice.mp3for voice cloning. You must replace this file with your own audio file when you run the code.
Python
# coding=utf-8
# Installation instructions for pyaudio:
# APPLE Mac OS X
# brew install portaudio
# pip install pyaudio
# Debian/Ubuntu
# sudo apt-get install python-pyaudio python3-pyaudio
# or
# pip install pyaudio
# CentOS
# sudo yum install -y portaudio portaudio-devel && pip install pyaudio
# Microsoft Windows
# python -m pip install pyaudio
import pyaudio
import os
import requests
import base64
import pathlib
import threading
import time
import dashscope # The DashScope Python SDK version must be 1.23.9 or later.
from dashscope.audio.qwen_tts_realtime import QwenTtsRealtime, QwenTtsRealtimeCallback, AudioFormat
# ======= Constant configuration =======
DEFAULT_TARGET_MODEL = "qwen3-tts-vc-realtime-2026-01-15" # The same model must be used for voice cloning and speech synthesis.
DEFAULT_PREFERRED_NAME = "guanyu"
DEFAULT_AUDIO_MIME_TYPE = "audio/mpeg"
VOICE_FILE_PATH = "voice.mp3" # The relative path of the local audio file for voice cloning.
TEXT_TO_SYNTHESIZE = [
'Right? I really like this kind of supermarket,',
'especially during the New Year.',
'Going to the supermarket',
'just makes me feel',
'super, super happy!',
'I want to buy so many things!'
]
def create_voice(file_path: str,
target_model: str = DEFAULT_TARGET_MODEL,
preferred_name: str = DEFAULT_PREFERRED_NAME,
audio_mime_type: str = DEFAULT_AUDIO_MIME_TYPE) -> str:
"""
Create a voice and return the voice parameter.
"""
# API keys for the Singapore and Beijing regions are different. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key/.
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key = "sk-xxx"
api_key = os.getenv("DASHSCOPE_API_KEY")
file_path_obj = pathlib.Path(file_path)
if not file_path_obj.exists():
raise FileNotFoundError(f"Audio file not found: {file_path}")
base64_str = base64.b64encode(file_path_obj.read_bytes()).decode()
data_uri = f"data:{audio_mime_type};base64,{base64_str}"
# The following URL is for the Singapore region. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1/services/audio/tts/customization
url = "https://dashscope-intl.aliyuncs.com/api/v1/services/audio/tts/customization"
payload = {
"model": "qwen-voice-enrollment", # Do not modify this value.
"input": {
"action": "create",
"target_model": target_model,
"preferred_name": preferred_name,
"audio": {"data": data_uri}
}
}
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
resp = requests.post(url, json=payload, headers=headers)
if resp.status_code != 200:
raise RuntimeError(f"Failed to create voice: {resp.status_code}, {resp.text}")
try:
return resp.json()["output"]["voice"]
except (KeyError, ValueError) as e:
raise RuntimeError(f"Failed to parse voice response: {e}")
def init_dashscope_api_key():
"""
Initialize the API key for the DashScope SDK.
"""
# API keys for the Singapore and Beijing regions are different. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key/.
# If you have not configured an environment variable, replace the following line with your Model Studio API key: dashscope.api_key = "sk-xxx"
dashscope.api_key = os.getenv("DASHSCOPE_API_KEY")
# ======= Callback class =======
class MyCallback(QwenTtsRealtimeCallback):
"""
Custom TTS streaming callback.
"""
def __init__(self):
self.complete_event = threading.Event()
self._player = pyaudio.PyAudio()
self._stream = self._player.open(
format=pyaudio.paInt16, channels=1, rate=24000, output=True
)
def on_open(self) -> None:
print('[TTS] Connection established.')
def on_close(self, close_status_code, close_msg) -> None:
self._stream.stop_stream()
self._stream.close()
self._player.terminate()
print(f'[TTS] Connection closed code={close_status_code}, msg={close_msg}')
def on_event(self, response: dict) -> None:
try:
event_type = response.get('type', '')
if event_type == 'session.created':
print(f'[TTS] Session started: {response["session"]["id"]}')
elif event_type == 'response.audio.delta':
audio_data = base64.b64decode(response['delta'])
self._stream.write(audio_data)
elif event_type == 'response.done':
print(f'[TTS] Response complete, Response ID: {qwen_tts_realtime.get_last_response_id()}')
elif event_type == 'session.finished':
print('[TTS] Session finished.')
self.complete_event.set()
except Exception as e:
print(f'[Error] Failed to process callback event: {e}')
def wait_for_finished(self):
self.complete_event.wait()
# ======= Main execution logic =======
if __name__ == '__main__':
init_dashscope_api_key()
print('[System] Initializing Qwen TTS Realtime ...')
callback = MyCallback()
qwen_tts_realtime = QwenTtsRealtime(
model=DEFAULT_TARGET_MODEL,
callback=callback,
# The following URL is for the Singapore region. If you use a model in the Beijing region, replace the URL with: wss://dashscope.aliyuncs.com/api-ws/v1/realtime
url='wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime'
)
qwen_tts_realtime.connect()
qwen_tts_realtime.update_session(
voice=create_voice(VOICE_FILE_PATH), # Replace the voice parameter with the custom voice generated by cloning.
response_format=AudioFormat.PCM_24000HZ_MONO_16BIT,
mode='server_commit'
)
for text_chunk in TEXT_TO_SYNTHESIZE:
print(f'[Send text]: {text_chunk}')
qwen_tts_realtime.append_text(text_chunk)
time.sleep(0.1)
qwen_tts_realtime.finish()
callback.wait_for_finished()
print(f'[Metric] session_id={qwen_tts_realtime.get_session_id()}, '
f'first_audio_delay={qwen_tts_realtime.get_first_audio_delay()}s')
Java
Import the Gson dependency. If you use Maven or Gradle, add the dependency as follows:
Maven
Add the following content to the pom.xml file:
<!-- https://mvnrepository.com/artifact/com.google.code.gson/gson -->
<dependency>
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
<version>2.13.1</version>
</dependency>Gradle
Add the following content to the build.gradle file:
// https://mvnrepository.com/artifact/com.google.code.gson/gson
implementation("com.google.code.gson:gson:2.13.1")import com.alibaba.dashscope.audio.qwen_tts_realtime.*;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.google.gson.Gson;
import com.google.gson.JsonObject;
import javax.sound.sampled.*;
import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;
import java.nio.file.*;
import java.nio.charset.StandardCharsets;
import java.util.Base64;
import java.util.Queue;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.atomic.AtomicReference;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicBoolean;
public class Main {
// ===== Constant definitions =====
// The same model must be used for voice cloning and speech synthesis.
private static final String TARGET_MODEL = "qwen3-tts-vc-realtime-2026-01-15";
private static final String PREFERRED_NAME = "guanyu";
// The relative path of the local audio file for voice cloning.
private static final String AUDIO_FILE = "voice.mp3";
private static final String AUDIO_MIME_TYPE = "audio/mpeg";
private static String[] textToSynthesize = {
"Right? I really like this kind of supermarket,",
"especially during the New Year.",
"Going to the supermarket",
"just makes me feel",
"super, super happy!",
"I want to buy so many things!"
};
// Generate a data URI.
public static String toDataUrl(String filePath) throws IOException {
byte[] bytes = Files.readAllBytes(Paths.get(filePath));
String encoded = Base64.getEncoder().encodeToString(bytes);
return "data:" + AUDIO_MIME_TYPE + ";base64," + encoded;
}
// Call the API to create a voice.
public static String createVoice() throws Exception {
// API keys for the Singapore and Beijing regions are different. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key/.
// If you have not configured an environment variable, replace the following line with your Model Studio API key: String apiKey = "sk-xxx"
String apiKey = System.getenv("DASHSCOPE_API_KEY");
String jsonPayload =
"{"
+ "\"model\": \"qwen-voice-enrollment\"," // Do not modify this value.
+ "\"input\": {"
+ "\"action\": \"create\","
+ "\"target_model\": \"" + TARGET_MODEL + "\","
+ "\"preferred_name\": \"" + PREFERRED_NAME + "\","
+ "\"audio\": {"
+ "\"data\": \"" + toDataUrl(AUDIO_FILE) + "\""
+ "}"
+ "}"
+ "}";
HttpURLConnection con = (HttpURLConnection) new URL("https://dashscope.aliyuncs.com/api/v1/services/audio/tts/customization").openConnection();
con.setRequestMethod("POST");
con.setRequestProperty("Authorization", "Bearer " + apiKey);
con.setRequestProperty("Content-Type", "application/json");
con.setDoOutput(true);
try (OutputStream os = con.getOutputStream()) {
os.write(jsonPayload.getBytes(StandardCharsets.UTF_8));
}
int status = con.getResponseCode();
System.out.println("HTTP status code: " + status);
try (BufferedReader br = new BufferedReader(
new InputStreamReader(status >= 200 && status < 300 ? con.getInputStream() : con.getErrorStream(),
StandardCharsets.UTF_8))) {
StringBuilder response = new StringBuilder();
String line;
while ((line = br.readLine()) != null) {
response.append(line);
}
System.out.println("Response content: " + response);
if (status == 200) {
JsonObject jsonObj = new Gson().fromJson(response.toString(), JsonObject.class);
return jsonObj.getAsJsonObject("output").get("voice").getAsString();
}
throw new IOException("Failed to create voice: " + status + " - " + response);
}
}
// Real-time PCM player class
public static class RealtimePcmPlayer {
private int sampleRate;
private SourceDataLine line;
private AudioFormat audioFormat;
private Thread decoderThread;
private Thread playerThread;
private AtomicBoolean stopped = new AtomicBoolean(false);
private Queue<String> b64AudioBuffer = new ConcurrentLinkedQueue<>();
private Queue<byte[]> RawAudioBuffer = new ConcurrentLinkedQueue<>();
// The constructor initializes the audio format and audio line.
public RealtimePcmPlayer(int sampleRate) throws LineUnavailableException {
this.sampleRate = sampleRate;
this.audioFormat = new AudioFormat(this.sampleRate, 16, 1, true, false);
DataLine.Info info = new DataLine.Info(SourceDataLine.class, audioFormat);
line = (SourceDataLine) AudioSystem.getLine(info);
line.open(audioFormat);
line.start();
decoderThread = new Thread(new Runnable() {
@Override
public void run() {
while (!stopped.get()) {
String b64Audio = b64AudioBuffer.poll();
if (b64Audio != null) {
byte[] rawAudio = Base64.getDecoder().decode(b64Audio);
RawAudioBuffer.add(rawAudio);
} else {
try {
Thread.sleep(100);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
}
}
}
});
playerThread = new Thread(new Runnable() {
@Override
public void run() {
while (!stopped.get()) {
byte[] rawAudio = RawAudioBuffer.poll();
if (rawAudio != null) {
try {
playChunk(rawAudio);
} catch (IOException e) {
throw new RuntimeException(e);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
} else {
try {
Thread.sleep(100);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
}
}
}
});
decoderThread.start();
playerThread.start();
}
// Play an audio chunk and block until playback is complete.
private void playChunk(byte[] chunk) throws IOException, InterruptedException {
if (chunk == null || chunk.length == 0) return;
int bytesWritten = 0;
while (bytesWritten < chunk.length) {
bytesWritten += line.write(chunk, bytesWritten, chunk.length - bytesWritten);
}
int audioLength = chunk.length / (this.sampleRate*2/1000);
// Wait for the audio in the buffer to finish playing.
Thread.sleep(audioLength - 10);
}
public void write(String b64Audio) {
b64AudioBuffer.add(b64Audio);
}
public void cancel() {
b64AudioBuffer.clear();
RawAudioBuffer.clear();
}
public void waitForComplete() throws InterruptedException {
while (!b64AudioBuffer.isEmpty() || !RawAudioBuffer.isEmpty()) {
Thread.sleep(100);
}
line.drain();
}
public void shutdown() throws InterruptedException {
stopped.set(true);
decoderThread.join();
playerThread.join();
if (line != null && line.isRunning()) {
line.drain();
line.close();
}
}
}
public static void main(String[] args) throws Exception {
QwenTtsRealtimeParam param = QwenTtsRealtimeParam.builder()
.model(TARGET_MODEL)
// The following URL is for the Singapore region. If you use a model in the Beijing region, replace the URL with: wss://dashscope.aliyuncs.com/api-ws/v1/realtime
.url("wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime")
// API keys for the Singapore and Beijing regions are different. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key/.
// If you have not configured an environment variable, replace the following line with your Model Studio API key: .apikey("sk-xxx")
.apikey(System.getenv("DASHSCOPE_API_KEY"))
.build();
AtomicReference<CountDownLatch> completeLatch = new AtomicReference<>(new CountDownLatch(1));
final AtomicReference<QwenTtsRealtime> qwenTtsRef = new AtomicReference<>(null);
// Create a real-time audio player instance.
RealtimePcmPlayer audioPlayer = new RealtimePcmPlayer(24000);
QwenTtsRealtime qwenTtsRealtime = new QwenTtsRealtime(param, new QwenTtsRealtimeCallback() {
@Override
public void onOpen() {
// Handle connection establishment.
}
@Override
public void onEvent(JsonObject message) {
String type = message.get("type").getAsString();
switch(type) {
case "session.created":
// Handle session creation.
break;
case "response.audio.delta":
String recvAudioB64 = message.get("delta").getAsString();
// Play the audio in real time.
audioPlayer.write(recvAudioB64);
break;
case "response.done":
// Handle response completion.
break;
case "session.finished":
// Handle session termination.
completeLatch.get().countDown();
default:
break;
}
}
@Override
public void onClose(int code, String reason) {
// Handle connection closure.
}
});
qwenTtsRef.set(qwenTtsRealtime);
try {
qwenTtsRealtime.connect();
} catch (NoApiKeyException e) {
throw new RuntimeException(e);
}
QwenTtsRealtimeConfig config = QwenTtsRealtimeConfig.builder()
.voice(createVoice()) // Replace the voice parameter with the custom voice generated by cloning.
.responseFormat(QwenTtsRealtimeAudioFormat.PCM_24000HZ_MONO_16BIT)
.mode("server_commit")
.build();
qwenTtsRealtime.updateSession(config);
for (String text:textToSynthesize) {
qwenTtsRealtime.appendText(text);
Thread.sleep(100);
}
qwenTtsRealtime.finish();
completeLatch.get().await();
// Wait for the audio to finish playing and then shut down the player.
audioPlayer.waitForComplete();
audioPlayer.shutdown();
System.exit(0);
}
}Synthesize speech using a designed voice
When you use the voice design feature, the service returns preview audio data. You can listen to the preview audio to ensure that it meets your needs before using it for speech synthesis. This practice helps reduce call costs.
Generate a custom voice and listen to the preview. If satisfied, proceed; otherwise, regenerate.
Python
import requests import base64 import os def create_voice_and_play(): # API keys differ between the Singapore and Beijing regions. Get an API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key # If you haven't set an environment variable, replace the following line with: api_key = "sk-xxx" api_key = os.getenv("DASHSCOPE_API_KEY") if not api_key: print("Error: DASHSCOPE_API_KEY environment variable not found. Please set your API key.") return None, None, None # Prepare request data headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json" } data = { "model": "qwen-voice-design", "input": { "action": "create", "target_model": "qwen3-tts-vd-realtime-2026-01-15", "voice_prompt": "A calm middle-aged male announcer with a deep, rich and magnetic voice, a steady speaking speed and clear articulation, is suitable for news broadcasting or documentary commentary.", "preview_text": "Dear listeners, hello everyone. Welcome to the evening news.", "preferred_name": "announcer", "language": "en" }, "parameters": { "sample_rate": 24000, "response_format": "wav" } } # URL for the Singapore region. For the Beijing region, use: https://dashscope.aliyuncs.com/api/v1/services/audio/tts/customization url = "https://dashscope-intl.aliyuncs.com/api/v1/services/audio/tts/customization" try: # Send request response = requests.post( url, headers=headers, json=data, timeout=60 # Add timeout setting ) if response.status_code == 200: result = response.json() # Get voice name voice_name = result["output"]["voice"] print(f"Voice name: {voice_name}") # Get preview audio data base64_audio = result["output"]["preview_audio"]["data"] # Decode Base64 audio data audio_bytes = base64.b64decode(base64_audio) # Save audio file locally filename = f"{voice_name}_preview.wav" # Write audio data to local file with open(filename, 'wb') as f: f.write(audio_bytes) print(f"Audio saved to local file: {filename}") print(f"File path: {os.path.abspath(filename)}") return voice_name, audio_bytes, filename else: print(f"Request failed. Status code: {response.status_code}") print(f"Response content: {response.text}") return None, None, None except requests.exceptions.RequestException as e: print(f"Network request error: {e}") return None, None, None except KeyError as e: print(f"Response data format error: missing required field: {e}") print(f"Response content: {response.text if 'response' in locals() else 'No response'}") return None, None, None except Exception as e: print(f"Unexpected error: {e}") return None, None, None if __name__ == "__main__": print("Creating voice...") voice_name, audio_data, saved_filename = create_voice_and_play() if voice_name: print(f"\nSuccessfully created voice '{voice_name}'") print(f"Audio file saved: '{saved_filename}'") print(f"File size: {os.path.getsize(saved_filename)} bytes") else: print("\nVoice creation failed")Java
Add the Gson dependency. If you use Maven or Gradle, add the dependency as follows:
Maven
Add the following to your
pom.xml:<!-- https://mvnrepository.com/artifact/com.google.code.gson/gson --> <dependency> <groupId>com.google.code.gson</groupId> <artifactId>gson</artifactId> <version>2.13.1</version> </dependency>Gradle
Add the following to your
build.gradle:// https://mvnrepository.com/artifact/com.google.code.gson/gson implementation("com.google.code.gson:gson:2.13.1")import com.google.gson.JsonObject; import com.google.gson.JsonParser; import java.io.*; import java.net.HttpURLConnection; import java.net.URL; import java.util.Base64; public class Main { public static void main(String[] args) { Main example = new Main(); example.createVoice(); } public void createVoice() { // API keys differ between the Singapore and Beijing regions. Get an API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key // If you haven't set an environment variable, replace the following line with: String apiKey = "sk-xxx" String apiKey = System.getenv("DASHSCOPE_API_KEY"); // Create JSON request body string String jsonBody = "{\n" + " \"model\": \"qwen-voice-design\",\n" + " \"input\": {\n" + " \"action\": \"create\",\n" + " \"target_model\": \"qwen3-tts-vd-realtime-2026-01-15\",\n" + " \"voice_prompt\": \"A calm middle-aged male announcer with a deep, rich and magnetic voice, a steady speaking speed and clear articulation, is suitable for news broadcasting or documentary commentary.\",\n" + " \"preview_text\": \"Dear listeners, hello everyone. Welcome to the evening news.\",\n" + " \"preferred_name\": \"announcer\",\n" + " \"language\": \"en\"\n" + " },\n" + " \"parameters\": {\n" + " \"sample_rate\": 24000,\n" + " \"response_format\": \"wav\"\n" + " }\n" + "}"; HttpURLConnection connection = null; try { // URL for the Singapore region. For the Beijing region, use: https://dashscope.aliyuncs.com/api/v1/services/audio/tts/customization URL url = new URL("https://dashscope-intl.aliyuncs.com/api/v1/services/audio/tts/customization"); connection = (HttpURLConnection) url.openConnection(); // Set request method and headers connection.setRequestMethod("POST"); connection.setRequestProperty("Authorization", "Bearer " + apiKey); connection.setRequestProperty("Content-Type", "application/json"); connection.setDoOutput(true); connection.setDoInput(true); // Send request body try (OutputStream os = connection.getOutputStream()) { byte[] input = jsonBody.getBytes("UTF-8"); os.write(input, 0, input.length); os.flush(); } // Get response int responseCode = connection.getResponseCode(); if (responseCode == HttpURLConnection.HTTP_OK) { // Read response content StringBuilder response = new StringBuilder(); try (BufferedReader br = new BufferedReader( new InputStreamReader(connection.getInputStream(), "UTF-8"))) { String responseLine; while ((responseLine = br.readLine()) != null) { response.append(responseLine.trim()); } } // Parse JSON response JsonObject jsonResponse = JsonParser.parseString(response.toString()).getAsJsonObject(); JsonObject outputObj = jsonResponse.getAsJsonObject("output"); JsonObject previewAudioObj = outputObj.getAsJsonObject("preview_audio"); // Get voice name String voiceName = outputObj.get("voice").getAsString(); System.out.println("Voice name: " + voiceName); // Get Base64-encoded audio data String base64Audio = previewAudioObj.get("data").getAsString(); // Decode Base64 audio data byte[] audioBytes = Base64.getDecoder().decode(base64Audio); // Save audio to local file String filename = voiceName + "_preview.wav"; saveAudioToFile(audioBytes, filename); System.out.println("Audio saved to local file: " + filename); } else { // Read error response StringBuilder errorResponse = new StringBuilder(); try (BufferedReader br = new BufferedReader( new InputStreamReader(connection.getErrorStream(), "UTF-8"))) { String responseLine; while ((responseLine = br.readLine()) != null) { errorResponse.append(responseLine.trim()); } } System.out.println("Request failed. Status code: " + responseCode); System.out.println("Error response: " + errorResponse.toString()); } } catch (Exception e) { System.err.println("Request error: " + e.getMessage()); e.printStackTrace(); } finally { if (connection != null) { connection.disconnect(); } } } private void saveAudioToFile(byte[] audioBytes, String filename) { try { File file = new File(filename); try (FileOutputStream fos = new FileOutputStream(file)) { fos.write(audioBytes); } System.out.println("Audio saved to: " + file.getAbsolutePath()); } catch (IOException e) { System.err.println("Error saving audio file: " + e.getMessage()); e.printStackTrace(); } } }Use the custom voice generated in the previous step for speech synthesis.
This example references the DashScope SDK's "server commit mode" sample code for using system voices. Replace the
voiceparameter with the custom voice created through voice design.Key principle: The model used in voice design (
target_model) must match the model used in the subsequent speech synthesis call (model). Otherwise, synthesis will fail.Python
# coding=utf-8 # Installation instructions for pyaudio: # APPLE Mac OS X # brew install portaudio # pip install pyaudio # Debian/Ubuntu # sudo apt-get install python-pyaudio python3-pyaudio # or # pip install pyaudio # CentOS # sudo yum install -y portaudio portaudio-devel && pip install pyaudio # Microsoft Windows # python -m pip install pyaudio import pyaudio import os import base64 import threading import time import dashscope # DashScope Python SDK version must be 1.23.9 or higher from dashscope.audio.qwen_tts_realtime import QwenTtsRealtime, QwenTtsRealtimeCallback, AudioFormat # ======= Constant configuration ======= TEXT_TO_SYNTHESIZE = [ 'Right? I really love this kind of supermarket,', 'especially during the New Year holidays.', 'Going to the supermarket', 'makes me feel', 'super super happy!', 'I want to buy so many things!' ] def init_dashscope_api_key(): """ Initialize the DashScope SDK API key. """ # API keys differ between the Singapore and Beijing regions. Get an API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key # If you haven't set an environment variable, replace the following line with: dashscope.api_key = "sk-xxx" dashscope.api_key = os.getenv("DASHSCOPE_API_KEY") # ======= Callback class ======= class MyCallback(QwenTtsRealtimeCallback): """ Custom TTS streaming callback. """ def __init__(self): self.complete_event = threading.Event() self._player = pyaudio.PyAudio() self._stream = self._player.open( format=pyaudio.paInt16, channels=1, rate=24000, output=True ) def on_open(self) -> None: print('[TTS] Connection established') def on_close(self, close_status_code, close_msg) -> None: self._stream.stop_stream() self._stream.close() self._player.terminate() print(f'[TTS] Connection closed. Code={close_status_code}, msg={close_msg}') def on_event(self, response: dict) -> None: try: event_type = response.get('type', '') if event_type == 'session.created': print(f'[TTS] Session started: {response["session"]["id"]}') elif event_type == 'response.audio.delta': audio_data = base64.b64decode(response['delta']) self._stream.write(audio_data) elif event_type == 'response.done': print(f'[TTS] Response completed. Response ID: {qwen_tts_realtime.get_last_response_id()}') elif event_type == 'session.finished': print('[TTS] Session ended') self.complete_event.set() except Exception as e: print(f'[Error] Callback event processing error: {e}') def wait_for_finished(self): self.complete_event.wait() # ======= Main execution logic ======= if __name__ == '__main__': init_dashscope_api_key() print('[System] Initializing Qwen TTS Realtime...') callback = MyCallback() qwen_tts_realtime = QwenTtsRealtime( # Use the same model for voice design and speech synthesis model="qwen3-tts-vd-realtime-2026-01-15", callback=callback, # URL for the Singapore region. For the Beijing region, use: wss://dashscope.aliyuncs.com/api-ws/v1/realtime url='wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime' ) qwen_tts_realtime.connect() qwen_tts_realtime.update_session( voice="myvoice", # Replace the voice parameter with your custom voice from voice design response_format=AudioFormat.PCM_24000HZ_MONO_16BIT, mode='server_commit' ) for text_chunk in TEXT_TO_SYNTHESIZE: print(f'[Sending text]: {text_chunk}') qwen_tts_realtime.append_text(text_chunk) time.sleep(0.1) qwen_tts_realtime.finish() callback.wait_for_finished() print(f'[Metric] session_id={qwen_tts_realtime.get_session_id()}, ' f'first_audio_delay={qwen_tts_realtime.get_first_audio_delay()}s')Java
import com.alibaba.dashscope.audio.qwen_tts_realtime.*; import com.alibaba.dashscope.exception.NoApiKeyException; import com.google.gson.JsonObject; import javax.sound.sampled.*; import java.io.*; import java.util.Base64; import java.util.Queue; import java.util.concurrent.CountDownLatch; import java.util.concurrent.atomic.AtomicReference; import java.util.concurrent.ConcurrentLinkedQueue; import java.util.concurrent.atomic.AtomicBoolean; public class Main { // ===== Constants ===== private static String[] textToSynthesize = { "Right? I really love this kind of supermarket", "especially during the New Year holidays", "Going to the supermarket", "makes me feel", "super super happy!", "I want to buy so many things!" }; // Real-time PCM player class public static class RealtimePcmPlayer { private int sampleRate; private SourceDataLine line; private AudioFormat audioFormat; private Thread decoderThread; private Thread playerThread; private AtomicBoolean stopped = new AtomicBoolean(false); private Queue<String> b64AudioBuffer = new ConcurrentLinkedQueue<>(); private Queue<byte[]> RawAudioBuffer = new ConcurrentLinkedQueue<>(); // Constructor to initialize audio format and audio line public RealtimePcmPlayer(int sampleRate) throws LineUnavailableException { this.sampleRate = sampleRate; this.audioFormat = new AudioFormat(this.sampleRate, 16, 1, true, false); DataLine.Info info = new DataLine.Info(SourceDataLine.class, audioFormat); line = (SourceDataLine) AudioSystem.getLine(info); line.open(audioFormat); line.start(); decoderThread = new Thread(new Runnable() { @Override public void run() { while (!stopped.get()) { String b64Audio = b64AudioBuffer.poll(); if (b64Audio != null) { byte[] rawAudio = Base64.getDecoder().decode(b64Audio); RawAudioBuffer.add(rawAudio); } else { try { Thread.sleep(100); } catch (InterruptedException e) { throw new RuntimeException(e); } } } } }); playerThread = new Thread(new Runnable() { @Override public void run() { while (!stopped.get()) { byte[] rawAudio = RawAudioBuffer.poll(); if (rawAudio != null) { try { playChunk(rawAudio); } catch (IOException e) { throw new RuntimeException(e); } catch (InterruptedException e) { throw new RuntimeException(e); } } else { try { Thread.sleep(100); } catch (InterruptedException e) { throw new RuntimeException(e); } } } } }); decoderThread.start(); playerThread.start(); } // Play an audio chunk and block until playback completes private void playChunk(byte[] chunk) throws IOException, InterruptedException { if (chunk == null || chunk.length == 0) return; int bytesWritten = 0; while (bytesWritten < chunk.length) { bytesWritten += line.write(chunk, bytesWritten, chunk.length - bytesWritten); } int audioLength = chunk.length / (this.sampleRate*2/1000); // Wait for audio in buffer to finish playing Thread.sleep(audioLength - 10); } public void write(String b64Audio) { b64AudioBuffer.add(b64Audio); } public void cancel() { b64AudioBuffer.clear(); RawAudioBuffer.clear(); } public void waitForComplete() throws InterruptedException { while (!b64AudioBuffer.isEmpty() || !RawAudioBuffer.isEmpty()) { Thread.sleep(100); } line.drain(); } public void shutdown() throws InterruptedException { stopped.set(true); decoderThread.join(); playerThread.join(); if (line != null && line.isRunning()) { line.drain(); line.close(); } } } public static void main(String[] args) throws Exception { QwenTtsRealtimeParam param = QwenTtsRealtimeParam.builder() // Use the same model for voice design and speech synthesis .model("qwen3-tts-vd-realtime-2026-01-15") // URL for the Singapore region. For the Beijing region, use: wss://dashscope.aliyuncs.com/api-ws/v1/realtime .url("wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime") // API keys differ between the Singapore and Beijing regions. Get an API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key // If you haven't set an environment variable, replace the following line with: .apikey("sk-xxx") .apikey(System.getenv("DASHSCOPE_API_KEY")) .build(); AtomicReference<CountDownLatch> completeLatch = new AtomicReference<>(new CountDownLatch(1)); final AtomicReference<QwenTtsRealtime> qwenTtsRef = new AtomicReference<>(null); // Create real-time audio player instance RealtimePcmPlayer audioPlayer = new RealtimePcmPlayer(24000); QwenTtsRealtime qwenTtsRealtime = new QwenTtsRealtime(param, new QwenTtsRealtimeCallback() { @Override public void onOpen() { // Handle connection established } @Override public void onEvent(JsonObject message) { String type = message.get("type").getAsString(); switch(type) { case "session.created": // Handle session created break; case "response.audio.delta": String recvAudioB64 = message.get("delta").getAsString(); // Play audio in real time audioPlayer.write(recvAudioB64); break; case "response.done": // Handle response completed break; case "session.finished": // Handle session finished completeLatch.get().countDown(); default: break; } } @Override public void onClose(int code, String reason) { // Handle connection closed } }); qwenTtsRef.set(qwenTtsRealtime); try { qwenTtsRealtime.connect(); } catch (NoApiKeyException e) { throw new RuntimeException(e); } QwenTtsRealtimeConfig config = QwenTtsRealtimeConfig.builder() .voice("myvoice") // Replace the voice parameter with your custom voice from voice design .responseFormat(QwenTtsRealtimeAudioFormat.PCM_24000HZ_MONO_16BIT) .mode("server_commit") .build(); qwenTtsRealtime.updateSession(config); for (String text:textToSynthesize) { qwenTtsRealtime.appendText(text); Thread.sleep(100); } qwenTtsRealtime.finish(); completeLatch.get().await(); // Wait for audio playback to complete and shut down player audioPlayer.waitForComplete(); audioPlayer.shutdown(); System.exit(0); } }
For more sample code, see GitHub.
Interaction flow
server_commit mode
Set the session.mode of the session.update event to "server_commit" to enable this mode. The server then automatically manages the timing for text segmentation and synthesis.
The interaction flow is as follows:
When the client sends a
session.updateevent, the server responds with thesession.createdandsession.updatedevents.The client uses the
input_text_buffer.appendevent to append text to the server-side buffer.The server intelligently manages text segmentation and synthesis timing, returning the
response.created,response.output_item.added,response.content_part.added, andresponse.audio.deltaevents.The server sends the
response.audio.done,response.content_part.done,response.output_item.done, andresponse.doneevents after completing the response.The server ends the session by sending the
session.finishedevent.
Lifecycle | Client events | Server events |
Session initialization | session.update Session configuration | session.created Session created session.updated Session configuration updated |
User text input | input_text_buffer.append Appends text to the server input_text_buffer.commit Immediately synthesizes the text cached on the server session.finish Notifies the server that there is no more text input | input_text_buffer.committed Server received the submitted text |
Server audio output | None | response.created Server starts generating a response response.output_item.added New output content is available in the response response.content_part.added New output content is added to the assistant message response.audio.delta Incrementally generated audio from the model response.content_part.done Streaming of text or audio content for the assistant message is complete response.output_item.done Streaming of the entire output item for the assistant message is complete response.audio.done Audio generation is complete response.done Response is complete |
commit mode
Set the session.mode for the session.update event to "commit" to enable this mode. In this mode, the client must submit the text buffer to the server to receive a response.
The interaction flow is as follows:
When the client sends the
session.updateevent, the server responds with thesession.createdandsession.updatedevents.The client appends text to the server-side buffer by sending the
input_text_buffer.appendevent.The client sends the
input_text_buffer.commitevent to commit the buffer to the server and thesession.finishevent to indicate that text input is complete.The server sends the
response.createdevent to initiate response generation.The server sends the
response.output_item.added,response.content_part.added, andresponse.audio.deltaevents.After the server completes its response, it returns
response.audio.done,response.content_part.done,response.output_item.done, andresponse.done.The server responds with
session.finishedto end the session.
Lifecycle | Client events | Server events |
Session initialization | session.update Session configuration | session.created Session created session.updated Session configuration updated |
User text input | input_text_buffer.append Appends text to the buffer input_text_buffer.commit Commits the buffer to the server input_text_buffer.clear Clears the buffer | input_text_buffer.committed Server received the committed text |
Server audio output | None | response.created Server starts generating a response response.output_item.added New output content is available in the response response.content_part.added New output content is added to the assistant message response.audio.delta Incrementally generated audio from the model response.content_part.done Streaming of text or audio content for the assistant message is complete response.output_item.done Streaming of the entire output item for the assistant message is complete response.audio.done Audio generation is complete response.done Response is complete |
API reference
Feature comparison
Feature | qwen3-tts-vd-realtime-2026-01-15, qwen3-tts-vd-realtime-2025-12-16 | qwen3-tts-vc-realtime-2026-01-15, qwen3-tts-vc-realtime-2025-11-27 | qwen3-tts-flash-realtime, qwen3-tts-flash-realtime-2025-11-27, qwen3-tts-flash-realtime-2025-09-18 | qwen-tts-realtime, qwen-tts-realtime-latest, qwen-tts-realtime-2025-07-15 |
Supported languages | Chinese, English, Spanish, Russian, Italian, French, Korean, Japanese, German, and Portuguese | Chinese (Mandarin, Beijing, Shanghai, Sichuan, Nanjing, Shaanxi, Minnan, Tianjin, and Cantonese, varies by voice), English, Spanish, Russian, Italian, French, Korean, Japanese, German, and Portuguese | Chinese and English | |
Audio formats | pcm, wav, mp3, and opus | pcm | ||
Audio sampling rates | 8 kHz, 16 kHz, 24 kHz, and 48 kHz | 24 kHz | ||
Voice cloning | ||||
Voice design | ||||
SSML | ||||
LaTeX | ||||
Volume adjustment | ||||
Speed adjustment | ||||
Pitch adjustment | ||||
Bitrate adjustment | ||||
Timestamp | ||||
Emotion setting | ||||
Streaming input | ||||
Streaming output | ||||
Rate limit | Requests per minute (RPM): 180 | qwen3-tts-flash-realtime, qwen3-tts-flash-realtime-2025-11-27 RPM: 180 qwen3-tts-flash-realtime-2025-09-18 RPM: 10 | RPM: 10 Tokens per minute (TPM): 100,000 | |
Access methods | Java/Python SDK, WebSocket API | |||
Pricing | International: $0.143353 per 10,000 characters Mainland China: $0.143353 per 10,000 characters | International: $0.13 per 10,000 characters Mainland China: $0.143353 per 10,000 characters | Mainland China:
| |
Supported voices
Supported voices vary by model. Set the voice request parameter to the corresponding value from the voice parameter column in the table.
| Details | Supported languages | Supported models |
| Name: Cherry Description: A cheerful, positive, friendly, and natural young woman. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Serena Description: Gentle female | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Ethan Description: A bright, warm, energetic, and vibrant male voice with a standard Mandarin pronunciation and a slight northern accent. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Chelsie Description: 2D virtual girlfriend | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Momo Description: A playful and cute female voice designed to be cheerful. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Vivian Description: A cool, cute, and slightly feisty female voice. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Moon Description: Moon White (male), spirited and handsome | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Maia Description: A female voice that blends intelligence with gentleness. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Kai Description: A soothing voice that is like a spa for your ears. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Nofish Description: A male designer who cannot pronounce the 'sh' or 'zh' sounds. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Bella Description: A young girl who drinks alcohol but does not practice Drunken Fist. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Jennifer Description: A premium, cinematic American English female voice. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Ryan Description: A rhythmic and dramatic voice with a sense of realism and tension. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Katerina Description: A mature female voice with a rich rhythm and lingering resonance. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Aiden Description: The voice of a young American man who is skilled in cooking. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Eldric Sage Description: A calm and wise old man, with the weathered appearance of a pine tree but a mind as clear as a mirror (male) | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Mia Description: Gentle as spring water and pure as the first snow (female) | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Mochi Description: The voice of a clever and bright "little adult" who retains childlike innocence yet possesses Zen-like wisdom. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Bellona Description: A powerful and sonorous voice with clear articulation that brings characters to life and stirs passion in the listener. The clash of swords and the thunder of hooves echo in your dreams, revealing a world of countless voices through perfectly clear and resonant tones. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Vincent Description: A uniquely raspy and smoky voice that instantly evokes tales of vast armies and heroic adventures. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Bunny Description: A female character brimming with "moe" traits. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Neil Description: A professional news anchor's voice with a flat baseline intonation and precise, clear pronunciation. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Elias Description: Maintains academic rigor and uses narrative techniques to break down complex topics into digestible modules (female). | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Arthur Description: A rustic voice, weathered by time and dry tobacco, that leisurely recounts village tales and oddities. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Nini Description: A soft and sticky voice, like mochi, whose drawn-out calls of "older brother" are sweet enough to melt your bones. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Ebona Description: A whispery voice that is like a rusty key slowly turning in the darkest corners of your innermost self, where all your unacknowledged childhood shadows and unknown fears lie hidden. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Seren Description: A gentle and soothing voice to help you fall asleep faster. Good night and sweet dreams. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Pip Description: Naughty and mischievous, yet retaining a childlike innocence. Is this the Shin-chan you remember? (male) | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Stella Description: A voice that is normally sickeningly sweet and dazed, but when shouting "In the name of the moon, I'll punish you!", it instantly fills with undeniable love and justice. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Bodega Description: Enthusiastic Spanish uncle | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Sonrisa Description: A warm and outgoing Latin American woman. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Alek Description: A voice that sounds cold at first, like Russia, yet is warm beneath the wool coat. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Dolce Description: A laid-back, middle-aged Italian man | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Sohee Description: A gentle, cheerful, and emotionally expressive Korean older-sister figure. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Ono Anna Description: A spirited and mischievous young woman and childhood sweetheart. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Lenn Description: Rational at the core, but rebellious in the details—a young German man who wears a suit and listens to post-punk. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Emilien Description: A romantic and mature French male | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Andre Description: A magnetic, natural, comfortable, and calm male voice. | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Radio Gol Description: The voice of the football poet Rádio Gol! "Today I will call the football match for you using names." | Chinese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Shanghai-Jada Description: An energetic woman from Shanghai | Chinese (Shanghainese), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Beijing-Dylan Description: A teenage boy who grew up in the hutongs of Beijing. | Chinese (Beijing dialect), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Nanjing-Li Description: A patient, male yoga teacher. | Chinese (Nanjing dialect), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Shaanxi-Marcus Description: A voice that is broad-faced and brief-spoken, sincere-hearted and deep-voiced—the authentic flavor of Shaanxi. | Chinese (Shaanxi dialect), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Minnan-Roy Description: The voice of a humorous, straightforward, and lively young Taiwanese man. | Chinese (Min Nan), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Tianjin-Peter Description: The voice of a professional straight man in Tianjin crosstalk. | Chinese (Tianjin dialect), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Sichuan-Sunny Description: The voice of a Sichuan girl whose sweetness melts your heart. | Chinese (Sichuanese), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Sichuan-Eric Description: A man from Chengdu, Sichuan, who is detached from the mundane. | Chinese (Sichuanese), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Cantonese-Rocky Description: The voice of the humorous and witty Rocky, here for online chatting. | Chinese (Cantonese), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|
| Name: Cantonese-Kiki Description: A sweet best female friend from Hong Kong. | Chinese (Cantonese), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean |
|