Alibaba Cloud Model Studio:Audio file recognition - Qwen

Supported models

Features

Getting started

An online trial is not currently available. To use the model, you must call the API. The following sections provide sample code for API calls.

Before you start, make sure you have created an API key and exported the API key as an environment variable. If you are calling the API through an SDK, you also need to install the latest version of the DashScope SDK.

import os
import dashscope

# The following is the URL for the Singapore region. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

messages = [
    {"role": "system", "content": [{"text": ""}]},  # Configure the context for custom recognition
    {"role": "user", "content": [{"audio": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3"}]}
]
response = dashscope.MultiModalConversation.call(
    # The API keys for the Singapore and Beijing regions are different. To obtain an API key: https://www.alibabacloud.com/help/en/model-studio/get-api-key
    # If the environment variable is not configured, replace the following line with your Model Studio API key: api_key = "sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    model="qwen3-asr-flash",
    messages=messages,
    result_format="message",
    asr_options={
        #"language": "zh", # Optional. If the audio language is known, specify it with this parameter to improve recognition accuracy.
        "enable_itn":True
    }
)
print(response)

{
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "annotations": [
                        {
                            "language": "zh",
                            "type": "audio_info",
                            "emotion": "neutral"
                        }
                    ],
                    "content": [
                        {
                            "text": "Welcome to Alibaba Cloud."
                        }
                    ],
                    "role": "assistant"
                }
            }
        ]
    },
    "usage": {
        "input_tokens_details": {
            "text_tokens": 0
        },
        "output_tokens_details": {
            "text_tokens": 6
        },
        "seconds": 1
    },
    "request_id": "568e2bf0-d6f2-97f8-9f15-a57b11dc6977"
}

import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;

import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;
import com.alibaba.dashscope.utils.JsonUtils;

public class Main {
    public static void simpleMultiModalConversationCall()
            throws ApiException, NoApiKeyException, UploadFileException {
        MultiModalConversation conv = new MultiModalConversation();
        MultiModalMessage userMessage = MultiModalMessage.builder()
                .role(Role.USER.getValue())
                .content(Arrays.asList(
                        Collections.singletonMap("audio", "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3")))
                .build();

        MultiModalMessage sysMessage = MultiModalMessage.builder().role(Role.SYSTEM.getValue())
                // Configure the context for custom recognition here
                .content(Arrays.asList(Collections.singletonMap("text", "")))
                .build();

        Map<String, Object> asrOptions = new HashMap<>();
        asrOptions.put("enable_itn", true);
        // asrOptions.put("language", "zh"); // Optional. If the audio language is known, specify it with this parameter to improve recognition accuracy.
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // The API keys for the Singapore and Beijing regions are different. To obtain an API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                // If the environment variable is not configured, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3-asr-flash")
                .message(userMessage)
                .message(sysMessage)
                .parameter("asr_options", asrOptions)
                .build();
        MultiModalConversationResult result = conv.call(param);
        System.out.println(JsonUtils.toJson(result));
    }
    public static void main(String[] args) {
        try {
            // The following is the URL for the Singapore region. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1
            Constants.baseHttpApiUrl = "https://dashscope-intl.aliyuncs.com/api/v1";
            simpleMultiModalConversationCall();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

{
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "annotations": [
                        {
                            "language": "zh",
                            "type": "audio_info",
                            "emotion": "neutral"
                        }
                    ],
                    "content": [
                        {
                            "text": "Welcome to Alibaba Cloud."
                        }
                    ],
                    "role": "assistant"
                }
            }
        ]
    },
    "usage": {
        "input_tokens_details": {
            "text_tokens": 0
        },
        "output_tokens_details": {
            "text_tokens": 6
        },
        "seconds": 1
    },
    "request_id": "568e2bf0-d6f2-97f8-9f15-a57b11dc6977"
}

# ======= Important =======
# The following is the URL for the Singapore region. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation
# The API keys for the Singapore and Beijing regions are different. To obtain an API key: https://www.alibabacloud.com/help/en/model-studio/get-api-key
# === Delete this comment before execution ===

curl --location --request POST 'https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
--header 'Authorization: Bearer $DASHSCOPE_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
    "model": "qwen3-asr-flash",
    "input": {
        "messages": [
            {"content": [{"text": ""}],"role": "system"},
            {"content": [{"audio": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3"}],"role": "user"}
        ]
    },
    "parameters": {
        "asr_options": {
            "enable_itn": true
        }
    }
}'

{
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "annotations": [
                        {
                            "language": "zh",
                            "type": "audio_info",
                            "emotion": "neutral"
                        }
                    ],
                    "content": [
                        {
                            "text": "Welcome to Alibaba Cloud."
                        }
                    ],
                    "role": "assistant"
                }
            }
        ]
    },
    "usage": {
        "input_tokens_details": {
            "text_tokens": 0
        },
        "output_tokens_details": {
            "text_tokens": 6
        },
        "seconds": 1
    },
    "request_id": "568e2bf0-d6f2-97f8-9f15-a57b11dc6977"
}

import os
import dashscope

# The following is the URL for the Singapore region. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

# Replace ABSOLUTE_PATH/welcome.mp3 with the absolute path of your local audio file.
audio_file_path = "file://ABSOLUTE_PATH/welcome.mp3"

messages = [
    {"role": "system", "content": [{"text": ""}]},  # Configure the context for custom recognition
    {"role": "user", "content": [{"audio": audio_file_path}]}
]
response = dashscope.MultiModalConversation.call(
    # The API keys for the Singapore and Beijing regions are different. To obtain an API key: https://www.alibabacloud.com/help/en/model-studio/get-api-key
    # If the environment variable is not configured, replace the following line with your Model Studio API key: api_key = "sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    model="qwen3-asr-flash",
    messages=messages,
    result_format="message",
    asr_options={
        # "language": "zh", # Optional. If the audio language is known, specify it with this parameter to improve recognition accuracy.
        "enable_itn":True
    }
)
print(response)

{
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "annotations": [
                        {
                            "language": "zh",
                            "type": "audio_info",
                            "emotion": "neutral"
                        }
                    ],
                    "content": [
                        {
                            "text": "Welcome to Alibaba Cloud."
                        }
                    ],
                    "role": "assistant"
                }
            }
        ]
    },
    "usage": {
        "input_tokens_details": {
            "text_tokens": 0
        },
        "output_tokens_details": {
            "text_tokens": 6
        },
        "seconds": 1
    },
    "request_id": "568e2bf0-d6f2-97f8-9f15-a57b11dc6977"
}

import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;

import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;
import com.alibaba.dashscope.utils.JsonUtils;

public class Main {
    public static void simpleMultiModalConversationCall()
            throws ApiException, NoApiKeyException, UploadFileException {
        // Replace ABSOLUTE_PATH/welcome.mp3 with the absolute path of your local file.
        String localFilePath = "file://ABSOLUTE_PATH/welcome.mp3";
        MultiModalConversation conv = new MultiModalConversation();
        MultiModalMessage userMessage = MultiModalMessage.builder()
                .role(Role.USER.getValue())
                .content(Arrays.asList(
                        Collections.singletonMap("audio", localFilePath)))
                .build();

        MultiModalMessage sysMessage = MultiModalMessage.builder().role(Role.SYSTEM.getValue())
                // Configure the context for custom recognition here
                .content(Arrays.asList(Collections.singletonMap("text", "")))
                .build();

        Map<String, Object> asrOptions = new HashMap<>();
        asrOptions.put("enable_itn", true);
        // asrOptions.put("language", "zh"); // Optional. If the audio language is known, specify it with this parameter to improve recognition accuracy.
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // The API keys for the Singapore and Beijing regions are different. To obtain an API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                // If the environment variable is not configured, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3-asr-flash")
                .message(userMessage)
                .message(sysMessage)
                .parameter("asr_options", asrOptions)
                .build();
        MultiModalConversationResult result = conv.call(param);
        System.out.println(JsonUtils.toJson(result));
    }
    public static void main(String[] args) {
        try {
            // The following is the URL for the Singapore region. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1
            Constants.baseHttpApiUrl = "https://dashscope-intl.aliyuncs.com/api/v1";
            simpleMultiModalConversationCall();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

{
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "annotations": [
                        {
                            "language": "zh",
                            "type": "audio_info",
                            "emotion": "neutral"
                        }
                    ],
                    "content": [
                        {
                            "text": "Welcome to Alibaba Cloud."
                        }
                    ],
                    "role": "assistant"
                }
            }
        ]
    },
    "usage": {
        "input_tokens_details": {
            "text_tokens": 0
        },
        "output_tokens_details": {
            "text_tokens": 6
        },
        "seconds": 1
    },
    "request_id": "568e2bf0-d6f2-97f8-9f15-a57b11dc6977"
}

import os
import dashscope

# The following is the URL for the Singapore region. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

messages = [
    {"role": "system", "content": [{"text": ""}]},  # Configure the context for custom recognition
    {"role": "user", "content": [{"audio": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3"}]}
]
response = dashscope.MultiModalConversation.call(
    # The API keys for the Singapore and Beijing regions are different. To obtain an API key: https://www.alibabacloud.com/help/en/model-studio/get-api-key
    # If the environment variable is not configured, replace the following line with your Model Studio API key: api_key = "sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    model="qwen3-asr-flash",
    messages=messages,
    result_format="message",
    asr_options={
        # "language": "zh", # Optional. If the audio language is known, specify it with this parameter to improve recognition accuracy.
        "enable_itn":True
    },
    stream=True
)

for response in response:
    try:
        print(response["output"]["choices"][0]["message"].content[0]["text"])
    except:
        pass

Welcome
Welcome to
Welcome to Ali
Welcome to Alibaba Cloud
Welcome to Alibaba Cloud.
Welcome to Alibaba Cloud.

import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;

import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;
import io.reactivex.Flowable;

public class Main {
    public static void simpleMultiModalConversationCall()
            throws ApiException, NoApiKeyException, UploadFileException {
        MultiModalConversation conv = new MultiModalConversation();
        MultiModalMessage userMessage = MultiModalMessage.builder()
                .role(Role.USER.getValue())
                .content(Arrays.asList(
                        Collections.singletonMap("audio", "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3")))
                .build();

        MultiModalMessage sysMessage = MultiModalMessage.builder().role(Role.SYSTEM.getValue())
                // Configure the context for custom recognition here
                .content(Arrays.asList(Collections.singletonMap("text", "")))
                .build();

        Map<String, Object> asrOptions = new HashMap<>();
        asrOptions.put("enable_itn", true);
        // asrOptions.put("language", "zh"); // Optional. If the audio language is known, specify it with this parameter to improve recognition accuracy.
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // The API keys for the Singapore and Beijing regions are different. To obtain an API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                // If the environment variable is not configured, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3-asr-flash")
                .message(userMessage)
                .message(sysMessage)
                .parameter("asr_options", asrOptions)
                .build();
        Flowable<MultiModalConversationResult> resultFlowable = conv.streamCall(param);
        resultFlowable.blockingForEach(item -> {
            try {
                System.out.println(item.getOutput().getChoices().get(0).getMessage().getContent().get(0).get("text"));
            } catch (Exception e){
                System.exit(0);
            }
        });
    }

    public static void main(String[] args) {
        try {
            // The following is the URL for the Singapore region. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1
            Constants.baseHttpApiUrl = "https://dashscope-intl.aliyuncs.com/api/v1";
            simpleMultiModalConversationCall();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

Welcome
Welcome to
Welcome to Ali
Welcome to Alibaba Cloud
Welcome to Alibaba Cloud.
Welcome to Alibaba Cloud.

# ======= Important =======
# The following is the URL for the Singapore region. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation
# The API keys for the Singapore and Beijing regions are different. To obtain an API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# === Delete this comment before execution ===

curl --location --request POST 'https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
--header 'Authorization: Bearer $DASHSCOPE_API_KEY' \
--header 'Content-Type: application/json' \
--header 'X-DashScope-SSE: enable' \
--data '{
    "model": "qwen3-asr-flash",
    "input": {
        "messages": [
            {
                "content": [
                    {
                        "text": ""
                    }
                ],
                "role": "system"
            },
            {
                "content": [
                    {
                        "audio": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3"
                    }
                ],
                "role": "user"
            }
        ]
    },
    "parameters": {
        "incremental_output": true,
        "asr_options": {
            "enable_itn": true
        }
    }
}'

id:1
event:result
:HTTP_STATUS/200
data:{"output":{"choices":[{"message":{"annotations":[{"type":"audio_info","language":"zh","emotion": "neutral"}],"content":[{"text":"Welcome"}],"role":"assistant"},"finish_reason":"null"}]},"usage":{"output_tokens_details":{"text_tokens":2},"input_tokens_details":{"text_tokens":0},"seconds":1},"request_id":"05a122e9-2f28-9e37-8156-0e564a8126e0"}

id:2
event:result
:HTTP_STATUS/200
data:{"output":{"choices":[{"message":{"annotations":[{"type":"audio_info","language":"zh","emotion": "neutral"}],"content":[{"text":"to"}],"role":"assistant"},"finish_reason":"null"}]},"usage":{"output_tokens_details":{"text_tokens":3},"input_tokens_details":{"text_tokens":0},"seconds":1},"request_id":"05a122e9-2f28-9e37-8156-0e564a8126e0"}

id:3
event:result
:HTTP_STATUS/200
data:{"output":{"choices":[{"message":{"annotations":[{"type":"audio_info","language":"zh","emotion": "neutral"}],"content":[{"text":"Alibaba"}],"role":"assistant"},"finish_reason":"null"}]},"usage":{"output_tokens_details":{"text_tokens":4},"input_tokens_details":{"text_tokens":0},"seconds":1},"request_id":"05a122e9-2f28-9e37-8156-0e564a8126e0"}

id:4
event:result
:HTTP_STATUS/200
data:{"output":{"choices":[{"message":{"annotations":[{"type":"audio_info","language":"zh","emotion": "neutral"}],"content":[{"text":"Cloud"}],"role":"assistant"},"finish_reason":"null"}]},"usage":{"output_tokens_details":{"text_tokens":5},"input_tokens_details":{"text_tokens":0},"seconds":1},"request_id":"05a122e9-2f28-9e37-8156-0e564a8126e0"}

id:5
event:result
:HTTP_STATUS/200
data:{"output":{"choices":[{"message":{"annotations":[{"type":"audio_info","language":"zh","emotion": "neutral"}],"content":[{"text":"."}],"role":"assistant"},"finish_reason":"null"}]},"usage":{"output_tokens_details":{"text_tokens":6},"input_tokens_details":{"text_tokens":0},"seconds":1},"request_id":"05a122e9-2f28-9e37-8156-0e564a8126e0"}

id:6
event:result
:HTTP_STATUS/200
data:{"output":{"choices":[{"message":{"content":[],"role":"assistant"},"finish_reason":"stop"}]},"usage":{"output_tokens_details":{"text_tokens":6},"input_tokens_details":{"text_tokens":0},"seconds":1},"request_id":"05a122e9-2f28-9e37-8156-0e564a8126e0"}

Core usage: Contextual biasing

With Qwen3-ASR, you can provide context to improve the recognition of domain-specific vocabulary, such as names, places, and product terms. This feature significantly improves transcription accuracy and is more flexible and powerful than traditional hotword solutions.

Length limit: The context content cannot exceed 10,000 tokens.

Usage: When calling the API, pass the text in the text parameter of the system message.

Supported text types: Supported text types include the following:

• Hotword lists (in various separator formats, such as hotword 1, hotword 2, hotword 3, or hotword 4)

• Text paragraphs or chapters of any format and length

• Mixed content: Any combination of word lists and paragraphs

• Irrelevant or meaningless text (including garbled text). The model has a high fault tolerance for irrelevant text, which rarely has a negative impact on performance.

Example:

The correct recognition result for a certain audio clip should be "What jargon from the investment banking circle do you know? First, the nine major foreign investment banks, the Bulge Bracket, BB ...".

To achieve this result, you can add any of the following content to the context:

• Word list:

  • Word list 1:

    Bulge Bracket, Boutique, Middle Market, domestic securities firms

  • Word list 2:

    Bulge Bracket Boutique Middle Market domestic securities firms

  • Word list 3:

    ['Bulge Bracket', 'Boutique', 'Middle Market', 'domestic securities firms']

• Natural language:

  Investment Banking Categories Revealed!
  Recently, many friends from Australia have asked me, what exactly is an investment bank? Today, I'll explain it to everyone. For international students, investment banks can be mainly divided into four categories: Bulge Bracket, Boutique, Middle Market, and domestic securities firms.
  Bulge Bracket Investment Banks: These are what we often call the nine major investment banks, including Goldman Sachs, Morgan Stanley, etc. These large firms are enormous in both business scope and scale.
  Boutique Investment Banks: These investment banks are relatively small in scale but are very focused in their business areas. For example, Lazard, Evercore, etc., have deep professional knowledge and experience in specific fields.
  Middle Market Investment Banks: This type of investment bank mainly serves medium-sized companies, providing services such as mergers and acquisitions, and IPOs. Although not as large as the major firms, they have high influence in specific markets.
  Domestic Securities Firms: With the rise of the Chinese market, domestic securities firms are also playing an increasingly important role in the international market.
  In addition, there are some divisions of Position and business, which you can refer to in the relevant charts. I hope this information helps everyone better understand investment banking and prepare for their future careers!

• Natural language with interference: Some text is irrelevant to the recognition content, such as the names in the following example.

  Investment Banking Categories Revealed!
  Recently, many friends from Australia have asked me, what exactly is an investment bank? Today, I'll explain it to everyone. For international students, investment banks can be mainly divided into four categories: Bulge Bracket, Boutique, Middle Market, and domestic securities firms.
  Bulge Bracket Investment Banks: These are what we often call the nine major investment banks, including Goldman Sachs, Morgan Stanley, etc. These large firms are enormous in both business scope and scale.
  Boutique Investment Banks: These investment banks are relatively small in scale but are very focused in their business areas. For example, Lazard, Evercore, etc., have deep professional knowledge and experience in specific fields.
  Middle Market Investment Banks: This type of investment bank mainly serves medium-sized companies, providing services such as mergers and acquisitions, and IPOs. Although not as large as the major firms, they have high influence in specific markets.
  Domestic Securities Firms: With the rise of the Chinese market, domestic securities firms are also playing an increasingly important role in the international market.
  In addition, there are some divisions of Position and business, which you can refer to in the relevant charts. I hope this information helps everyone better understand investment banking and prepare for their future careers!
  Wang Haoxuan, Li Zihan, Zhang Jingxing, Liu Xinyi, Chen Junjie, Yang Siyuan, Zhao Yutong, Huang Zhiqiang, Zhou Zimo, Wu Yajing, Xu Ruoxi, Sun Haoran, Hu Jinyu, Zhu Chenxi, Guo Wenbo, He Jingshu, Gao Yuhang, Lin Yifei 
  Zheng Xiaoyan, Liang Bowen, Luo Jiaqi, Song Mingzhe, Xie Wanting, Tang Ziqian, Han Mengyao, Feng Yiran, Cao Qinxue, Deng Zirui, Xiao Wangshu, Xu Jiashu 
  Cheng Yinuo, Yuan Zhiruo, Peng Haoyu, Dong Simiao, Fan Jingyu, Su Zijin, Lv Wenxuan, Jiang Shihan, Ding Muchen 
  Wei Shuyao, Ren Tianyou, Jiang Yichen, Hua Qingyu, Shen Xinghe, Fu Jinyu, Yao Xingchen, Zhong Lingyu, Yan Licheng, Jin Ruoshui, Taoranting, Qi Shaoshang, Xue Zhilan, Zou Yunfan, Xiong Ziang, Bai Wenfeng, Yi Qianfan

API reference

Audio file recognition - Qwen API reference

FAQ

# Query the container format (format_name), encoding (codec_name), sample rate (sample_rate), and number of channels (channels)
ffprobe -v error -show_entries format=format_name -show_entries stream=codec_name,sample_rate,channels -of default=noprint_wrappers=1 your_audio_file.mp3