在直播、線上會議、語音交談或智能助手等情境中,需要將連續的音頻流即時轉化為文字,以提供即時字幕、產生會議記錄或響應語音指令。千問即時語音辨識服務能夠接收音頻流並即時轉寫。
核心功能
多語種高精度識別:支援多語言高精度語音辨識(涵蓋普通話及多種方言,如粵語、四川話等,詳情請參見模型功能特性)
複雜環境適應:具備應對複雜聲學環境的能力,支援自動語種檢測與智能非人聲過濾
情感識別:支援多種情緒狀態的識別(涵蓋驚訝、平靜、愉快、悲傷、厭惡、憤怒和恐懼)
適用範圍
支援的模型:
國際
在國際部署模式下,存取點與資料存放區均位於新加坡地區,模型推理計算資源在全球範圍內動態調度(不含中國內地)。
調用以下模型時,請選擇新加坡地區的API Key:
千問3-ASR-Flash-Realtime:qwen3-asr-flash-realtime(穩定版,當前等同qwen3-asr-flash-realtime-2025-10-27)、qwen3-asr-flash-realtime-2026-02-10(最新快照版)、qwen3-asr-flash-realtime-2025-10-27(快照版)
中國內地
在中國內地部署模式下,存取點與資料存放區均位於北京地區,模型推理計算資源僅限於中國內地。
調用以下模型時,請選擇北京地區的API Key:
千問3-ASR-Flash-Realtime:qwen3-asr-flash-realtime(穩定版,當前等同qwen3-asr-flash-realtime-2025-10-27)、qwen3-asr-flash-realtime-2026-02-10(最新快照版)、qwen3-asr-flash-realtime-2025-10-27(快照版)
更多資訊請參見模型列表
模型選型
情境 | 推薦模型 | 理由 |
智能客服質檢 | qwen3-asr-flash-realtime-2026-02-10 | 即時分析通話內容與客戶情緒,輔助坐席並進行服務品質監控 |
直播/短視頻 | 為直播內容產生即時字幕,覆蓋多語種觀眾 | |
線上會議/訪談 | 即時記錄會議發言,快速產生文字紀要,提高資訊整理效率 |
更多說明請參見模型功能特性。
快速開始
使用DashScope SDK
Java
安裝SDK,確保DashScope SDK版本不低於2.22.5。
擷取API Key,推薦使用環境變數配置 API Key,以避免在代碼中寫入程式碼。
運行範例程式碼。
import com.alibaba.dashscope.audio.omni.*; import com.alibaba.dashscope.exception.NoApiKeyException; import com.google.gson.JsonObject; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import javax.sound.sampled.LineUnavailableException; import java.io.File; import java.io.FileInputStream; import java.util.Base64; import java.util.Collections; import java.util.concurrent.CountDownLatch; import java.util.concurrent.atomic.AtomicReference; public class Qwen3AsrRealtimeUsage { private static final Logger log = LoggerFactory.getLogger(Qwen3AsrRealtimeUsage.class); private static final int AUDIO_CHUNK_SIZE = 1024; // Audio chunk size in bytes private static final int SLEEP_INTERVAL_MS = 30; // Sleep interval in milliseconds public static void main(String[] args) throws InterruptedException, LineUnavailableException { CountDownLatch finishLatch = new CountDownLatch(1); OmniRealtimeParam param = OmniRealtimeParam.builder() .model("qwen3-asr-flash-realtime") // 以下為新加坡地區url,若使用北京地區的模型,需將url替換為:wss://dashscope.aliyuncs.com/api-ws/v1/realtime .url("wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime") // 新加坡和北京地區的API Key不同。擷取API Key:https://www.alibabacloud.com/help/zh/model-studio/get-api-key // 若沒有配置環境變數,請用百鍊API Key將下行替換為:.apikey("sk-xxx") .apikey(System.getenv("DASHSCOPE_API_KEY")) .build(); OmniRealtimeConversation conversation = null; final AtomicReference<OmniRealtimeConversation> conversationRef = new AtomicReference<>(null); conversation = new OmniRealtimeConversation(param, new OmniRealtimeCallback() { @Override public void onOpen() { System.out.println("connection opened"); } @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 "conversation.item.input_audio_transcription.completed": System.out.println("transcription: " + message.get("transcript").getAsString()); finishLatch.countDown(); break; case "input_audio_buffer.speech_started": System.out.println("======VAD Speech Start======"); break; case "input_audio_buffer.speech_stopped": System.out.println("======VAD Speech Stop======"); break; case "conversation.item.input_audio_transcription.text": System.out.println("transcription: " + message.get("text").getAsString()); break; default: break; } } @Override public void onClose(int code, String reason) { System.out.println("connection closed code: " + code + ", reason: " + reason); } }); conversationRef.set(conversation); try { conversation.connect(); } catch (NoApiKeyException e) { throw new RuntimeException(e); } OmniRealtimeTranscriptionParam transcriptionParam = new OmniRealtimeTranscriptionParam(); transcriptionParam.setLanguage("zh"); transcriptionParam.setInputAudioFormat("pcm"); transcriptionParam.setInputSampleRate(16000); OmniRealtimeConfig config = OmniRealtimeConfig.builder() .modalities(Collections.singletonList(OmniRealtimeModality.TEXT)) .transcriptionConfig(transcriptionParam) .build(); conversation.updateSession(config); String filePath = "your_audio_file.pcm"; File audioFile = new File(filePath); if (!audioFile.exists()) { log.error("Audio file not found: {}", filePath); return; } try (FileInputStream audioInputStream = new FileInputStream(audioFile)) { byte[] audioBuffer = new byte[AUDIO_CHUNK_SIZE]; int bytesRead; int totalBytesRead = 0; log.info("Starting to send audio data from: {}", filePath); // Read and send audio data in chunks while ((bytesRead = audioInputStream.read(audioBuffer)) != -1) { totalBytesRead += bytesRead; String audioB64 = Base64.getEncoder().encodeToString(audioBuffer); // Send audio chunk to conversation conversation.appendAudio(audioB64); // Add small delay to simulate real-time audio streaming Thread.sleep(SLEEP_INTERVAL_MS); } log.info("Finished sending audio data. Total bytes sent: {}", totalBytesRead); } catch (Exception e) { log.error("Error sending audio from file: {}", filePath, e); } //send session.finish and wait for finish and close conversation.endSession(); log.info("task finished"); System.exit(0); } }
Python
安裝SDK,確保DashScope SDK版本不低於1.25.6。
擷取API Key,推薦使用環境變數配置 API Key,以避免在代碼中寫入程式碼。
運行範例程式碼。
import logging import os import base64 import signal import sys import time import dashscope from dashscope.audio.qwen_omni import * from dashscope.audio.qwen_omni.omni_realtime import TranscriptionParams def setup_logging(): """配置日誌輸出""" logger = logging.getLogger('dashscope') logger.setLevel(logging.DEBUG) handler = logging.StreamHandler(sys.stdout) handler.setLevel(logging.DEBUG) formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') handler.setFormatter(formatter) logger.addHandler(handler) logger.propagate = False return logger def init_api_key(): """初始化 API Key""" # 新加坡和北京地區的API Key不同。擷取API Key:https://www.alibabacloud.com/help/zh/model-studio/get-api-key # 若沒有配置環境變數,請用百鍊API Key將下行替換為:dashscope.api_key = "sk-xxx" dashscope.api_key = os.environ.get('DASHSCOPE_API_KEY', 'YOUR_API_KEY') if dashscope.api_key == 'YOUR_API_KEY': print('[Warning] Using placeholder API key, set DASHSCOPE_API_KEY environment variable.') class MyCallback(OmniRealtimeCallback): """即時識別回調處理""" def __init__(self, conversation): self.conversation = conversation self.handlers = { 'session.created': self._handle_session_created, 'conversation.item.input_audio_transcription.completed': self._handle_final_text, 'conversation.item.input_audio_transcription.text': self._handle_stash_text, 'input_audio_buffer.speech_started': lambda r: print('======Speech Start======'), 'input_audio_buffer.speech_stopped': lambda r: print('======Speech Stop======') } def on_open(self): print('Connection opened') def on_close(self, code, msg): print(f'Connection closed, code: {code}, msg: {msg}') def on_event(self, response): try: handler = self.handlers.get(response['type']) if handler: handler(response) except Exception as e: print(f'[Error] {e}') def _handle_session_created(self, response): print(f"Start session: {response['session']['id']}") def _handle_final_text(self, response): print(f"Final recognized text: {response['transcript']}") def _handle_stash_text(self, response): print(f"Got stash result: {response['stash']}") def read_audio_chunks(file_path, chunk_size=3200): """按塊讀取音頻檔案""" with open(file_path, 'rb') as f: while chunk := f.read(chunk_size): yield chunk def send_audio(conversation, file_path, delay=0.1): """發送音頻資料""" if not os.path.exists(file_path): raise FileNotFoundError(f"Audio file {file_path} does not exist.") print("Processing audio file... Press 'Ctrl+C' to stop.") for chunk in read_audio_chunks(file_path): audio_b64 = base64.b64encode(chunk).decode('ascii') conversation.append_audio(audio_b64) time.sleep(delay) def main(): setup_logging() init_api_key() audio_file_path = "./your_audio_file.pcm" conversation = OmniRealtimeConversation( model='qwen3-asr-flash-realtime', # 以下為新加坡地區url,若使用北京地區的模型,需將url替換為:wss://dashscope.aliyuncs.com/api-ws/v1/realtime url='wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime', callback=MyCallback(conversation=None) # 暫時傳None,稍後注入 ) # 注入自身到回調 conversation.callback.conversation = conversation def handle_exit(sig, frame): print('Ctrl+C pressed, exiting...') conversation.close() sys.exit(0) signal.signal(signal.SIGINT, handle_exit) conversation.connect() transcription_params = TranscriptionParams( language='zh', sample_rate=16000, input_audio_format="pcm" ) conversation.update_session( output_modalities=[MultiModality.TEXT], enable_input_audio_transcription=True, transcription_params=transcription_params ) try: send_audio(conversation, audio_file_path) # send session.finish and wait for finished and close conversation.end_session() except Exception as e: print(f"Error occurred: {e}") finally: conversation.close() print("Audio processing completed.") if __name__ == '__main__': main()
使用WebSocket API
以下樣本示範如何通過 WebSocket 串連發送本地音頻檔案並擷取識別結果。
擷取API Key:擷取API Key,安全起見,推薦將API Key配置到環境變數。
編寫並運行代碼:通過代碼實現認證、串連、發送音頻和接收結果的完整流程(詳情請參見互動流程)。
Python
在運行樣本前,請確保已使用以下命令安裝依賴:
pip uninstall websocket-client pip uninstall websocket pip install websocket-client請不要將範例程式碼檔案命名為
websocket.py,否則可能觸發如下錯誤:AttributeError: module 'websocket' has no attribute 'WebSocketApp'. Did you mean: 'WebSocket'?# pip install websocket-client import os import time import json import threading import base64 import websocket import logging import logging.handlers from datetime import datetime logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) # 新加坡和北京地區的API Key不同。擷取API Key:https://www.alibabacloud.com/help/zh/model-studio/get-api-key # 若沒有配置環境變數,請用百鍊API Key將下行替換為:API_KEY="sk-xxx" API_KEY = os.environ.get("DASHSCOPE_API_KEY", "sk-xxx") QWEN_MODEL = "qwen3-asr-flash-realtime" # 以下為新加坡地區baseUrl,若使用北京地區的模型,需將baseUrl替換為:wss://dashscope.aliyuncs.com/api-ws/v1/realtime baseUrl = "wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime" url = f"{baseUrl}?model={QWEN_MODEL}" print(f"Connecting to server: {url}") # 注意: 如果是非vad模式,建議持續發送的音頻時間長度累加不超過60s enableServerVad = True is_running = True # 增加運行標誌位 headers = [ "Authorization: Bearer " + API_KEY, "OpenAI-Beta: realtime=v1" ] def init_logger(): formatter = logging.Formatter('%(asctime)s|%(levelname)s|%(message)s') f_handler = logging.handlers.RotatingFileHandler( "omni_tester.log", maxBytes=100 * 1024 * 1024, backupCount=3 ) f_handler.setLevel(logging.DEBUG) f_handler.setFormatter(formatter) console = logging.StreamHandler() console.setLevel(logging.DEBUG) console.setFormatter(formatter) logger.addHandler(f_handler) logger.addHandler(console) def on_open(ws): logger.info("Connected to server.") # 會話更新事件 event_manual = { "event_id": "event_123", "type": "session.update", "session": { "modalities": ["text"], "input_audio_format": "pcm", "sample_rate": 16000, "input_audio_transcription": { # 語種標識,可選,如果有明確的語種資訊,建議設定 "language": "zh" }, "turn_detection": None } } event_vad = { "event_id": "event_123", "type": "session.update", "session": { "modalities": ["text"], "input_audio_format": "pcm", "sample_rate": 16000, "input_audio_transcription": { "language": "zh" }, "turn_detection": { "type": "server_vad", "threshold": 0.0, "silence_duration_ms": 400 } } } if enableServerVad: logger.info(f"Sending event: {json.dumps(event_vad, indent=2)}") ws.send(json.dumps(event_vad)) else: logger.info(f"Sending event: {json.dumps(event_manual, indent=2)}") ws.send(json.dumps(event_manual)) def on_message(ws, message): global is_running try: data = json.loads(message) logger.info(f"Received event: {json.dumps(data, ensure_ascii=False, indent=2)}") if data.get("type") == "session.finished": logger.info(f"Final transcript: {data.get('transcript')}") logger.info("Closing WebSocket connection after session finished...") is_running = False # 停止音頻發送線程 ws.close() except json.JSONDecodeError: logger.error(f"Failed to parse message: {message}") def on_error(ws, error): logger.error(f"Error: {error}") def on_close(ws, close_status_code, close_msg): logger.info(f"Connection closed: {close_status_code} - {close_msg}") def send_audio(ws, local_audio_path): time.sleep(3) # 等待會話更新完成 global is_running with open(local_audio_path, 'rb') as audio_file: logger.info(f"檔案讀取開始: {datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]}") while is_running: audio_data = audio_file.read(3200) # ~0.1s PCM16/16kHz if not audio_data: logger.info(f"檔案讀取完畢: {datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]}") if ws.sock and ws.sock.connected: if not enableServerVad: commit_event = { "event_id": "event_789", "type": "input_audio_buffer.commit" } ws.send(json.dumps(commit_event)) finish_event = { "event_id": "event_987", "type": "session.finish" } ws.send(json.dumps(finish_event)) break if not ws.sock or not ws.sock.connected: logger.info("WebSocket已關閉,停止發送音頻。") break encoded_data = base64.b64encode(audio_data).decode('utf-8') eventd = { "event_id": f"event_{int(time.time() * 1000)}", "type": "input_audio_buffer.append", "audio": encoded_data } ws.send(json.dumps(eventd)) logger.info(f"Sending audio event: {eventd['event_id']}") time.sleep(0.1) # 類比即時採集 # 初始化日誌 init_logger() logger.info(f"Connecting to WebSocket server at {url}...") local_audio_path = "your_audio_file.pcm" ws = websocket.WebSocketApp( url, header=headers, on_open=on_open, on_message=on_message, on_error=on_error, on_close=on_close ) thread = threading.Thread(target=send_audio, args=(ws, local_audio_path)) thread.start() ws.run_forever()Java
在運行樣本前,請確保已安裝Java-WebSocket依賴:
Maven
<dependency> <groupId>org.java-websocket</groupId> <artifactId>Java-WebSocket</artifactId> <version>1.5.6</version> </dependency>Gradle
implementation 'org.java-websocket:Java-WebSocket:1.5.6'import org.java_websocket.client.WebSocketClient; import org.java_websocket.handshake.ServerHandshake; import org.json.JSONObject; import java.net.URI; import java.nio.file.Files; import java.nio.file.Paths; import java.util.Base64; import java.util.concurrent.atomic.AtomicBoolean; import java.util.logging.*; public class QwenASRRealtimeClient { private static final Logger logger = Logger.getLogger(QwenASRRealtimeClient.class.getName()); // 新加坡和北京地區的API Key不同。擷取API Key:https://www.alibabacloud.com/help/zh/model-studio/get-api-key // 若沒有配置環境變數,請用百鍊API Key將下行替換為:private static final String API_KEY = "sk-xxx" private static final String API_KEY = System.getenv().getOrDefault("DASHSCOPE_API_KEY", "sk-xxx"); private static final String MODEL = "qwen3-asr-flash-realtime"; // 控制是否使用 VAD 模式 private static final boolean enableServerVad = true; private static final AtomicBoolean isRunning = new AtomicBoolean(true); private static WebSocketClient client; public static void main(String[] args) throws Exception { initLogger(); // 以下為新加坡地區baseUrl,若使用北京地區的模型,需將baseUrl替換為:wss://dashscope.aliyuncs.com/api-ws/v1/realtime String baseUrl = "wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime"; String url = baseUrl + "?model=" + MODEL; logger.info("Connecting to server: " + url); client = new WebSocketClient(new URI(url)) { @Override public void onOpen(ServerHandshake handshake) { logger.info("Connected to server."); sendSessionUpdate(); } @Override public void onMessage(String message) { try { JSONObject data = new JSONObject(message); String eventType = data.optString("type"); logger.info("Received event: " + data.toString(2)); // 收到結束事件 → 停止發送線程並關閉串連 if ("session.finished".equals(eventType)) { logger.info("Final transcript: " + data.optString("transcript")); logger.info("Closing WebSocket connection after session finished..."); isRunning.set(false); // 停止發送音頻線程 if (this.isOpen()) { this.close(1000, "ASR finished"); } } } catch (Exception e) { logger.severe("Failed to parse message: " + message); } } @Override public void onClose(int code, String reason, boolean remote) { logger.info("Connection closed: " + code + " - " + reason); } @Override public void onError(Exception ex) { logger.severe("Error: " + ex.getMessage()); } }; // 添加要求標頭 client.addHeader("Authorization", "Bearer " + API_KEY); client.addHeader("OpenAI-Beta", "realtime=v1"); client.connectBlocking(); // 阻塞直到串連建立 // 替換為待識別的音頻檔案路徑 String localAudioPath = "your_audio_file.pcm"; Thread audioThread = new Thread(() -> { try { sendAudio(localAudioPath); } catch (Exception e) { logger.severe("Audio sending thread error: " + e.getMessage()); } }); audioThread.start(); } /** 會話更新事件(開啟/關閉 VAD) */ private static void sendSessionUpdate() { JSONObject eventNoVad = new JSONObject() .put("event_id", "event_123") .put("type", "session.update") .put("session", new JSONObject() .put("modalities", new String[]{"text"}) .put("input_audio_format", "pcm") .put("sample_rate", 16000) .put("input_audio_transcription", new JSONObject() .put("language", "zh")) .put("turn_detection", JSONObject.NULL) // 手動模式 ); JSONObject eventVad = new JSONObject() .put("event_id", "event_123") .put("type", "session.update") .put("session", new JSONObject() .put("modalities", new String[]{"text"}) .put("input_audio_format", "pcm") .put("sample_rate", 16000) .put("input_audio_transcription", new JSONObject() .put("language", "zh")) .put("turn_detection", new JSONObject() .put("type", "server_vad") .put("threshold", 0.0) .put("silence_duration_ms", 400)) ); if (enableServerVad) { logger.info("Sending event (VAD):\n" + eventVad.toString(2)); client.send(eventVad.toString()); } else { logger.info("Sending event (Manual):\n" + eventNoVad.toString(2)); client.send(eventNoVad.toString()); } } /** 發送音頻檔案流 */ private static void sendAudio(String localAudioPath) throws Exception { Thread.sleep(3000); // 等會話準備 byte[] allBytes = Files.readAllBytes(Paths.get(localAudioPath)); logger.info("檔案讀取開始"); int offset = 0; while (isRunning.get() && offset < allBytes.length) { int chunkSize = Math.min(3200, allBytes.length - offset); byte[] chunk = new byte[chunkSize]; System.arraycopy(allBytes, offset, chunk, 0, chunkSize); offset += chunkSize; if (client != null && client.isOpen()) { String encoded = Base64.getEncoder().encodeToString(chunk); JSONObject eventd = new JSONObject() .put("event_id", "event_" + System.currentTimeMillis()) .put("type", "input_audio_buffer.append") .put("audio", encoded); client.send(eventd.toString()); logger.info("Sending audio event: " + eventd.getString("event_id")); } else { break; // 避免在斷開後繼續發送 } Thread.sleep(100); // 類比即時發送 } logger.info("檔案讀取完畢"); if (client != null && client.isOpen()) { // 非 VAD 模式下需要 commit if (!enableServerVad) { JSONObject commitEvent = new JSONObject() .put("event_id", "event_789") .put("type", "input_audio_buffer.commit"); client.send(commitEvent.toString()); logger.info("Sent commit event for manual mode."); } JSONObject finishEvent = new JSONObject() .put("event_id", "event_987") .put("type", "session.finish"); client.send(finishEvent.toString()); logger.info("Sent finish event."); } } /** 初始化日誌 */ private static void initLogger() { logger.setLevel(Level.ALL); Logger rootLogger = Logger.getLogger(""); for (Handler h : rootLogger.getHandlers()) { rootLogger.removeHandler(h); } Handler consoleHandler = new ConsoleHandler(); consoleHandler.setLevel(Level.ALL); consoleHandler.setFormatter(new SimpleFormatter()); logger.addHandler(consoleHandler); } }Node.js
在運行樣本前,請確保已使用以下命令安裝依賴:
npm install ws/** * Qwen-ASR Realtime WebSocket 用戶端(Node.js版) * 功能: * - 支援 VAD 模式和 Manual 模式 * - 發送 session.update 啟動會話 * - 持續發送音頻塊 input_audio_buffer.append * - 如果是Manual模式,需要發送 input_audio_buffer.commit * - 發送session.finish事件 * - 收到 session.finished 事件後關閉串連 */ import WebSocket from 'ws'; import fs from 'fs'; // ===== 配置 ===== // 新加坡和北京地區的API Key不同。擷取API Key:https://www.alibabacloud.com/help/zh/model-studio/get-api-key // 若沒有配置環境變數,請用百鍊API Key將下行替換為:const API_KEY = "sk-xxx" const API_KEY = process.env.DASHSCOPE_API_KEY || 'sk-xxx'; const MODEL = 'qwen3-asr-flash-realtime'; const enableServerVad = true; // true為VAD模式,false為Manual模式 const localAudioPath = 'your_audio_file.pcm'; // PCM16、16kHz音頻檔案路徑 // 以下為新加坡地區baseUrl,若使用北京地區的模型,需將baseUrl替換為:wss://dashscope.aliyuncs.com/api-ws/v1/realtime const baseUrl = 'wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime'; const url = `${baseUrl}?model=${MODEL}`; console.log(`Connecting to server: ${url}`); // ===== 狀態控制 ===== let isRunning = true; // ===== 建立串連 ===== const ws = new WebSocket(url, { headers: { 'Authorization': `Bearer ${API_KEY}`, 'OpenAI-Beta': 'realtime=v1' } }); // ===== 事件綁定 ===== ws.on('open', () => { console.log('[WebSocket] Connected to server.'); sendSessionUpdate(); // 啟動音頻發送線程 sendAudio(localAudioPath); }); ws.on('message', (message) => { try { const data = JSON.parse(message); console.log('[Received Event]:', JSON.stringify(data, null, 2)); // 收到結束事件 if (data.type === 'session.finished') { console.log(`[Final Transcript] ${data.transcript}`); console.log('[Action] Closing WebSocket connection after session finished...'); if (ws.readyState === WebSocket.OPEN) { ws.close(1000, 'ASR finished'); } } } catch (e) { console.error('[Error] Failed to parse message:', message); } }); ws.on('close', (code, reason) => { console.log(`[WebSocket] Connection closed: ${code} - ${reason}`); }); ws.on('error', (err) => { console.error('[WebSocket Error]', err); }); // ===== 會話更新 ===== function sendSessionUpdate() { const eventNoVad = { event_id: 'event_123', type: 'session.update', session: { modalities: ['text'], input_audio_format: 'pcm', sample_rate: 16000, input_audio_transcription: { language: 'zh' }, turn_detection: null } }; const eventVad = { event_id: 'event_123', type: 'session.update', session: { modalities: ['text'], input_audio_format: 'pcm', sample_rate: 16000, input_audio_transcription: { language: 'zh' }, turn_detection: { type: 'server_vad', threshold: 0.0, silence_duration_ms: 400 } } }; if (enableServerVad) { console.log('[Send Event] VAD Mode:\n', JSON.stringify(eventVad, null, 2)); ws.send(JSON.stringify(eventVad)); } else { console.log('[Send Event] Manual Mode:\n', JSON.stringify(eventNoVad, null, 2)); ws.send(JSON.stringify(eventNoVad)); } } // ===== 發送音頻檔案流 ===== function sendAudio(audioPath) { setTimeout(() => { console.log(`[File Read Start] ${audioPath}`); const buffer = fs.readFileSync(audioPath); let offset = 0; const chunkSize = 3200; // 約0.1s的PCM16音頻 function sendChunk() { if (!isRunning) return; if (offset >= buffer.length) { isRunning = false; // 停止發送音頻 console.log('[File Read End]'); if (ws.readyState === WebSocket.OPEN) { if (!enableServerVad) { const commitEvent = { event_id: 'event_789', type: 'input_audio_buffer.commit' }; ws.send(JSON.stringify(commitEvent)); console.log('[Send Commit Event]'); } const finishEvent = { event_id: 'event_987', type: 'session.finish' }; ws.send(JSON.stringify(finishEvent)); console.log('[Send Finish Event]'); } return; } if (ws.readyState !== WebSocket.OPEN) { console.log('[Stop] WebSocket is not open.'); return; } const chunk = buffer.slice(offset, offset + chunkSize); offset += chunkSize; const encoded = chunk.toString('base64'); const appendEvent = { event_id: `event_${Date.now()}`, type: 'input_audio_buffer.append', audio: encoded }; ws.send(JSON.stringify(appendEvent)); console.log(`[Send Audio Event] ${appendEvent.event_id}`); setTimeout(sendChunk, 100); // 類比即時發送 } sendChunk(); }, 3000); // 等待會話配置完成 }
API參考
模型功能特性
功能/特性 | qwen3-asr-flash-realtime、qwen3-asr-flash-realtime-2026-02-10、qwen3-asr-flash-realtime-2025-10-27 |
支援語言 | 中文(普通話、四川話、閩南語、吳語、粵語)、英語、日語、德語、韓語、俄語、法語、葡萄牙語、阿拉伯語、意大利語、西班牙語、印地語、印尼語、泰語、土耳其語、烏克蘭語、越南語、捷克語、丹麥語、菲律賓語、芬蘭語、冰島語、馬來語、挪威語、波蘭語、瑞典語 |
支援的音頻格式 | pcm、opus |
採樣率 | 8kHz、16kHz |
聲道 | 單聲道 |
輸入形式 | 二進位音頻流 |
音頻大小/時間長度 | 不限 |
情感識別 | 固定開啟 |
敏感詞過濾 | |
說話人分離 | |
語氣詞過濾 | |
時間戳記 | |
標點符號預測 | 固定開啟 |
ITN(Inverse Text Normalization,逆文本正則化) | |
VAD(Voice Activity Detection,語音活動檢測) | 固定開啟 |
限流(RPS) | 20 |
接入方式 | Java/Python SDK、WebSocket API |
價格 | 國際:$0.00009/秒 中國內地:$0.000047/秒 |