Integrate Qwen-ASR with OpenAI & DashScope for Speech Recognition

Reference, synced 2026-06-13.

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Input and output parameters for the Qwen-ASR model. Call the API using the OpenAI compatible or DashScope protocol.

User guide: See Non-real-time speech recognition.

Model connection types

Different models support different connection types.

Model	Connection type


Model	Connection type
Qwen3-ASR-Flash-Filetrans	Only DashScope asynchronous invocation is supported
Qwen3-ASR-Flash	OpenAI compatible and DashScope synchronous

OpenAI compatible

Important

The OpenAI-compatible mode is not available in the US region.

URL

Singapore

China (Beijing)

HTTP request address: POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions

base_url for SDK calls: https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1

Replace WorkspaceId with your actual Workspace ID.

HTTP request address: POST https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions

base_url for SDK calls: https://dashscope.aliyuncs.com/compatible-mode/v1


### Request body	Input: audio file URL Input: Base64-encoded audio file Python SDK Node.js SDK cURL python from openai import OpenAI import os try: client = OpenAI( # API Keys for the Singapore/US and Beijing regions are different. To obtain an API Key, see: 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"), # Singapore region URL. Replace WorkspaceId with your actual workspace ID. The URL varies by region. base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1", ) stream_enabled = False # Whether to enable streaming output completion = client.chat.completions.create( model="qwen3-asr-flash", messages=[ { "content": [ { "type": "input_audio", "input_audio": { "data": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3" } } ], "role": "user" } ], stream=stream_enabled, # When stream is False, stream_options cannot be set # stream_options={"include_usage": True}, extra_body={ "asr_options": { # "language": "zh", "enable_itn": False } } ) if stream_enabled: full_content = "" print("Streaming output:") for chunk in completion: # When stream_options.include_usage is True, the choices field of the last chunk is an empty list and must be skipped (you can get token usage via chunk.usage) print(chunk) if chunk.choices and chunk.choices[0].delta.content: full_content += chunk.choices[0].delta.content print(f"Full content: {full_content}") else: print(f"Non-streaming output: {completion.choices[0].message.content}") except Exception as e: print(f"Error: {e}") nodejs // Preparations before running: // Common to Windows/Mac/Linux: // 1. Make sure Node.js is installed (version >= 14 recommended) // 2. Run the following command to install the required dependency: npm install openai import OpenAI from "openai"; const client = new OpenAI({ // API Keys for the Singapore/US and Beijing regions are different. To obtain an API Key, see: 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: apiKey: "sk-xxx", apiKey: process.env.DASHSCOPE_API_KEY, // Singapore region URL. Replace WorkspaceId with your actual workspace ID. The URL varies by region. baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1", }); async function main() { try { const streamEnabled = false; // Whether to enable streaming output const completion = await client.chat.completions.create({ model: "qwen3-asr-flash", messages: [ { role: "user", content: [ { type: "input_audio", input_audio: { data: "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3" } } ] } ], stream: streamEnabled, // When stream is False, stream_options cannot be set // stream_options: { // "include_usage": true // }, extra_body: { asr_options: { // language: "zh", enable_itn: false } } }); if (streamEnabled) { let fullContent = ""; console.log("Streaming output:"); for await (const chunk of completion) { console.log(JSON.stringify(chunk)); if (chunk.choices && chunk.choices.length > 0) { const delta = chunk.choices[0].delta; if (delta && delta.content) { fullContent += delta.content; } } } console.log(`Full content: ${fullContent}`); } else { console.log(`Non-streaming output: ${completion.choices[0].message.content}`); } } catch (err) { console.error(`Error: ${err}`); } } main(); Singapore region URL. Replace WorkspaceId with your actual workspace ID. The URL varies by region. `curl curl -X POST 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions' \ -H "Authorization: Bearer $DASHSCOPE_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "qwen3-asr-flash", "messages": [ { "content": [ { "type": "input_audio", "input_audio": { "data": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3" } } ], "role": "user" } ], "stream":false, "asr_options": { "enable_itn": false } }'` You can also pass Base64-encoded audio as a data URL, in the format `data:<mediatype>;base64,<data>`. - `<mediatype>`: The MIME type. The value varies by audio format. For example: - WAV: `audio/wav` - MP3: `audio/mpeg` - `<data>`: The Base64-encoded string of the audio data. Base64 encoding inflates the payload size. Keep the source file small enough that the encoded data still fits within the 10 MB input limit. - Example: `data:audio/wav;base64,SUQzBAAAAAAAI1RTU0UAAAAPAAADTGF2ZjU4LjI5LjEwMAAAAAAAAAAAAAAA//PAxABQ/BXRbMPe4IQAhl9` View sample code `python import base64, pathlib # input.mp3 is the local audio file. Replace the path with your own file and verify that it meets the audio requirements. file_path = pathlib.Path("input.mp3") base64_str = base64.b64encode(file_path.read_bytes()).decode() data_uri = f"data:audio/mpeg;base64,{base64_str}"` java import java.nio.file.; import java.util.Base64; public class Main { /* * filePath is the local audio file. Replace it with the path to your own file and verify that it meets the audio requirements. */ public static String toDataUrl(String filePath) throws Exception { byte[] bytes = Files.readAllBytes(Paths.get(filePath)); String encoded = Base64.getEncoder().encodeToString(bytes); return "data:audio/mpeg;base64," + encoded; } // Example usage public static void main(String[] args) throws Exception { System.out.println(toDataUrl("input.mp3")); } } Python SDK Node.js SDK The example uses this audio file: welcome.mp3. python import base64 from openai import OpenAI import os import pathlib try: # Replace with the actual path to your audio file file_path = "welcome.mp3" # Replace with the actual MIME type of your audio file audio_mime_type = "audio/mpeg" 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}" client = OpenAI( # API Keys for the Singapore/US and Beijing regions are different. To obtain an API Key, see: 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"), # Singapore region URL. Replace WorkspaceId with your actual workspace ID. The URL varies by region. base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1", ) stream_enabled = False # Whether to enable streaming output completion = client.chat.completions.create( model="qwen3-asr-flash", messages=[ { "content": [ { "type": "input_audio", "input_audio": { "data": data_uri } } ], "role": "user" } ], stream=stream_enabled, # When stream is False, stream_options cannot be set # stream_options={"include_usage": True}, extra_body={ "asr_options": { # "language": "zh", "enable_itn": False } } ) if stream_enabled: full_content = "" print("Streaming output:") for chunk in completion: # When stream_options.include_usage is True, the choices field of the last chunk is an empty list and must be skipped (you can get token usage via chunk.usage) print(chunk) if chunk.choices and chunk.choices[0].delta.content: full_content += chunk.choices[0].delta.content print(f"Full content: {full_content}") else: print(f"Non-streaming output: {completion.choices[0].message.content}") except Exception as e: print(f"Error: {e}") The example uses this audio file: welcome.mp3. nodejs // Preparations before running: // Common to Windows/Mac/Linux: // 1. Make sure Node.js is installed (version >= 14 recommended) // 2. Run the following command to install the required dependency: npm install openai import OpenAI from "openai"; import { readFileSync } from 'fs'; const client = new OpenAI({ // API Keys for the Singapore/US and Beijing regions are different. To obtain an API Key, see: 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: apiKey: "sk-xxx", apiKey: process.env.DASHSCOPE_API_KEY, // Singapore region URL. Replace WorkspaceId with your actual workspace ID. The URL varies by region. baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1", }); const encodeAudioFile = (audioFilePath) => { const audioFile = readFileSync(audioFilePath); return audioFile.toString('base64'); }; // Replace with the actual path to your audio file const dataUri = `data:audio/mpeg;base64,${encodeAudioFile("welcome.mp3")}`; async function main() { try { const streamEnabled = false; // Whether to enable streaming output const completion = await client.chat.completions.create({ model: "qwen3-asr-flash", messages: [ { role: "user", content: [ { type: "input_audio", input_audio: { data: dataUri } } ] } ], stream: streamEnabled, // When stream is False, stream_options cannot be set // stream_options: { // "include_usage": true // }, extra_body: { asr_options: { // language: "zh", enable_itn: false } } }); if (streamEnabled) { let fullContent = ""; console.log("Streaming output:"); for await (const chunk of completion) { console.log(JSON.stringify(chunk)); if (chunk.choices && chunk.choices.length > 0) { const delta = chunk.choices[0].delta; if (delta && delta.content) { fullContent += delta.content; } } } console.log(`Full content: ${fullContent}`); } else { console.log(`Non-streaming output: ${completion.choices[0].message.content}`); } } catch (err) { console.error(`Error: ${err}`); } } main();
model`string` (Required) The model name. This parameter applies only to the Qwen3-ASR-Flash model.
messages`array` (Required) The list of messages. Message types System Message`object` (Optional) The goal or role of the model. If you use a system message, it must be the first message in the `messages` list. Properties role`string` (Required) Set to `system`. User Message`object` (Required) The message sent by the user to the model. Properties content`array` (Required) The content of the user message. Only one message is allowed in the array. Properties type`string` (Required) Set to `input_audio`, which indicates that the input is audio. input_audio`string` (Required) The audio to be recognized. For more information about how to use this parameter, see Quick start. In OpenAI-compatible mode, the Qwen3-ASR-Flash model supports two input formats: Base64-encoded files and URLs of audio files that are accessible over the public network. When you use an SDK, if the audio file is stored in OSS, temporary URLs that start with `oss://` are not supported. When you use a RESTful API, if the audio file is stored in OSS, temporary URLs that start with `oss://` are supported. Note: Important - Temporary URLs are valid for 48 hours. After expiration, they cannot be used. Do not use them in production environments. - The file upload credential API is rate-limited to 100 QPS and cannot be scaled up. Do not use it in production, high-concurrency, or stress testing scenarios. - For production environments, we recommend using stable storage services such as Alibaba Cloud OSS to ensure long-term file availability and avoid rate limiting issues. role`string` (Required) The role of the user message. Set to `user`.
asr_options`object`(Optional) Specifies whether to enable certain features. > `asr_options` is not a standard OpenAI parameter. If you use an OpenAI SDK, pass it through `extra_body`. Properties language string (Optional) No default value If the language of the audio is known, you can specify it using this parameter to improve recognition accuracy. You can specify only one language. If the audio language is uncertain or includes multiple languages (such as a mix of Chinese, English, Japanese, and Korean), do not specify this parameter. Valid values - zh: Chinese (Mandarin, Sichuanese, Minnan, and Wu) - yue: Cantonese - en: English - ja: Japanese - de: German - ko: Korean - ru: Russian - fr: French - pt: Portuguese - ar: Arabic - it: Italian - es: Spanish - hi: Hindi - id: Indonesian - th: Thai - tr: Turkish - uk: Ukrainian - vi: Vietnamese - cs: Czech - da: Danish - fil: Filipino - fi: Finnish - is: Icelandic - ms: Malay - no: Norwegian - pl: Polish - sv: Swedish enable_itn`boolean` (Optional) Defaults to: `false` Specifies whether to enable Inverse Text Normalization (ITN). This feature applies only to Chinese and English audio. - true - false (default)
stream`boolean`(Optional) Defaults to: `false` Specifies whether to use streaming output. See Streaming output. Valid values: - `false`: The model returns the complete content after generation. - `true`: The model generates and outputs content simultaneously. A data block (chunk) is returned each time a part of the content is generated. You must read these blocks in real time to assemble the complete reply. Set to `true` to reduce the risk of request timeouts.
stream_options`object`(Optional) The configuration items for streaming output. This parameter takes effect only when `stream` is set to `true`. Properties include_usage`boolean`(Optional) Defaults to: `false` Specifies whether to include token consumption information in the last data block of the response. Valid values: - `true` - `false` (default) > During streaming output, token consumption information appears only in the last data block of the response.


### Response body	Non-streaming output Streaming output json { "choices": [ { "finish_reason": "stop", "index": 0, "message": { "annotations": [ { "emotion": "neutral", "language": "zh", "type": "audio_info" } ], "content": "Welcome to Alibaba Cloud.", "role": "assistant" } } ], "created": 1767683986, "id": "chatcmpl-487abe5f-d4f2-9363-a877-xxxxxxx", "model": "qwen3-asr-flash", "object": "chat.completion", "usage": { "completion_tokens": 12, "completion_tokens_details": { "text_tokens": 12 }, "prompt_tokens": 42, "prompt_tokens_details": { "audio_tokens": 42, "text_tokens": 0 }, "seconds": 1, "total_tokens": 54 } } json data: {"model":"qwen3-asr-flash","id":"chatcmpl-3fb97803-d27f-9289-8889-xxxxx","created":1767685989,"object":"chat.completion.chunk","usage":null,"choices":[{"logprobs":null,"index":0,"delta":{"content":"","role":"assistant"}}]} data: {"model":"qwen3-asr-flash","id":"chatcmpl-3fb97803-d27f-9289-8889-xxxxx","choices":[{"delta":{"annotations":[{"type":"audio_info","language":"zh","emotion":"neutral"}],"content":"Welcome","role":null},"index":0}],"created":1767685989,"object":"chat.completion.chunk","usage":null} data: {"model":"qwen3-asr-flash","id":"chatcmpl-3fb97803-d27f-9289-8889-xxxxx","choices":[{"delta":{"annotations":[{"type":"audio_info","language":"zh","emotion":"neutral"}],"content":" to","role":null},"index":0}],"created":1767685989,"object":"chat.completion.chunk","usage":null} data: {"model":"qwen3-asr-flash","id":"chatcmpl-3fb97803-d27f-9289-8889-xxxxx","choices":[{"delta":{"annotations":[{"type":"audio_info","language":"zh","emotion":"neutral"}],"content":" Alibaba","role":null},"index":0}],"created":1767685989,"object":"chat.completion.chunk","usage":null} data: {"model":"qwen3-asr-flash","id":"chatcmpl-3fb97803-d27f-9289-8889-xxxxx","choices":[{"delta":{"annotations":[{"type":"audio_info","language":"zh","emotion":"neutral"}],"content":" Cloud","role":null},"index":0}],"created":1767685989,"object":"chat.completion.chunk","usage":null} data: {"model":"qwen3-asr-flash","id":"chatcmpl-3fb97803-d27f-9289-8889-xxxxx","choices":[{"delta":{"annotations":[{"type":"audio_info","language":"zh","emotion":"neutral"}],"content":".","role":null},"index":0}],"created":1767685989,"object":"chat.completion.chunk","usage":null} data: {"model":"qwen3-asr-flash","id":"chatcmpl-3fb97803-d27f-9289-8889-xxxxx","choices":[{"delta":{"role":null},"index":0,"finish_reason":"stop"}],"created":1767685989,"object":"chat.completion.chunk","usage":null} data: [DONE]
id`string` The unique identifier for this call.
choices`array` The output information from the model. Properties finish_reason`string` Valid values: - `null`: The output is still being generated. - `stop`: The output ended naturally or was terminated by a stop condition. - `length`: The output exceeded the maximum length limit. index`integer` The index of the current object in the `choices` array. message`object` The message object output by the model. Properties role`string` The role of the output message. Set to assistant. content`array` The speech recognition result. annotations`array` The output annotation information, such as the language. Properties language`string` The language of the recognized audio. If the `language` request parameter is specified, this value is the same as the specified parameter. Valid values - zh: Chinese (Mandarin, Sichuanese, Minnan, and Wu) - yue: Cantonese - en: English - ja: Japanese - de: German - ko: Korean - ru: Russian - fr: French - pt: Portuguese - ar: Arabic - it: Italian - es: Spanish - hi: Hindi - id: Indonesian - th: Thai - tr: Turkish - uk: Ukrainian - vi: Vietnamese - cs: Czech - da: Danish - fil: Filipino - fi: Finnish - is: Icelandic - ms: Malay - no: Norwegian - pl: Polish - sv: Swedish type`string` Set to `audio_info`, which indicates audio information. emotion`string` The emotion of the recognized audio. The following emotions are supported: - `surprised`: surprised - `neutral`: neutral - `happy`: happy - `sad`: sad - `disgusted`: disgusted - `angry`: angry - `fearful`: fearful
created`integer` The UNIX timestamp (in seconds) when the request was created.
model`string` The model used for this request.
object`string` Always `chat.completion`.
usage`object` The token consumption information for this request. Properties completion_tokens`integer` The number of tokens in the model output. completion_tokens_details`object` The fine-grained details of the tokens in the model output. Properties text_tokens`integer` The number of tokens in the model output text. prompt_tokens`object` The number of tokens in the input. prompt_tokens_details`object` The fine-grained details of the tokens in the input. Properties audio_tokens`integer` The length of the input audio in tokens. Audio-to-token conversion rule: Each second of audio is converted to 25 tokens. Durations less than 1 second are counted as 1 second. text_tokens`integer` You can ignore this parameter. seconds`integer` The audio duration in seconds. total_tokens`integer` The total number of input and output tokens (`total_tokens = completion_tokens + prompt_tokens`).

DashScope synchronous

URL

Singapore

US (Virginia)

China (Beijing)

HTTP request address: POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation

base_url for SDK calls: https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1

Replace WorkspaceId with your actual Workspace ID.

If you select the US deployment scope, model inference compute resources are restricted to the United States. Static data is stored in your selected region. Supported region: US (Virginia).

HTTP request address: POST https://dashscope-us.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation

base_url for SDK calls: https://dashscope-us.aliyuncs.com/api/v1

HTTP request address: POST https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation

base_url for SDK calls: https://dashscope.aliyuncs.com/api/v1


### Request body	The following example shows how to recognize an audio file from a URL. For an example of how to recognize a local audio file, see Quick start. cURL Java Python julia curl -X POST "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation" \ -H "Authorization: Bearer $DASHSCOPE_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "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": false } } }' ```pgsql 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(); Map<String, Object> asrOptions = new HashMap<>(); asrOptions.put("enable_itn", false); // asrOptions.put("language", "zh"); // Optional. If the audio language is known, use this parameter to specify the language to improve recognition accuracy. MultiModalConversationParam param = MultiModalConversationParam.builder() // API Keys for the Singapore/US and Beijing regions are different. To obtain an API Key, see: 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: .apiKey("sk-xxx") .apiKey(System.getenv("DASHSCOPE_API_KEY")) // To use a model in the US region, append the "-us" suffix to the model name, for example, qwen3-asr-flash-us .model("qwen3-asr-flash") .message(userMessage) .parameter("asr_options", asrOptions) .build(); MultiModalConversationResult result = conv.call(param); System.out.println(JsonUtils.toJson(result)); } public static void main(String[] args) { try { // Singapore region URL. Replace WorkspaceId with your actual workspace ID. The URL varies by region. Constants.baseHttpApiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1"; simpleMultiModalConversationCall(); } catch (ApiException
model`string` (Required) The model name. This parameter applies only to the Qwen3-ASR-Flash model.
messages`array` (Required) The list of messages. > When you make an HTTP call, place messages in the input object. Message types System Message`object` (Optional) This defines the model's goal or role. If you set a system message, place it at the beginning of the messages list. Only Qwen3-ASR-Flash supports this parameter. Properties role`string` (Required) Set to `system`. User Message`object` (Required) The message sent by the user to the model. Properties content`array` (Required) The content of the user message. Only one message is allowed in the array. Properties audio`string` (Required) The audio to be recognized. For more information about how to use this parameter, see Quick start. When you use DashScope, the Qwen3-ASR-Flash model supports three input formats: Base64-encoded files, absolute paths of local files, and URLs of audio files that are accessible over the public network. When you use an SDK, if the audio file is stored in OSS, temporary URLs that start with `oss://` are not supported. When you use a RESTful API, if the audio file is stored in OSS, temporary URLs that start with `oss://` are supported. Note: Important - Temporary URLs are valid for 48 hours. After expiration, they cannot be used. Do not use them in production environments. - The file upload credential API is rate-limited to 100 QPS and cannot be scaled up. Do not use it in production, high-concurrency, or stress testing scenarios. - For production environments, we recommend using stable storage services such as Alibaba Cloud OSS to ensure long-term file availability and avoid rate limiting issues. role`string` (Required) The role of the user message. Set to `user`.
asr_options`object`(Optional) Specifies whether to enable certain features. This parameter is supported only by the Qwen3-ASR-Flash model. Properties language string (Optional) No default value If the language of the audio is known, you can specify it using this parameter to improve recognition accuracy. You can specify only one language. If the audio language is uncertain or includes multiple languages (such as a mix of Chinese, English, Japanese, and Korean), do not specify this parameter. Valid values - zh: Chinese (Mandarin, Sichuanese, Minnan, and Wu) - yue: Cantonese - en: English - ja: Japanese - de: German - ko: Korean - ru: Russian - fr: French - pt: Portuguese - ar: Arabic - it: Italian - es: Spanish - hi: Hindi - id: Indonesian - th: Thai - tr: Turkish - uk: Ukrainian - vi: Vietnamese - cs: Czech - da: Danish - fil: Filipino - fi: Finnish - is: Icelandic - ms: Malay - no: Norwegian - pl: Polish - sv: Swedish enable_itn`boolean` (Optional) Defaults to: `false` Specifies whether to enable Inverse Text Normalization (ITN). This feature applies only to Chinese and English audio. - true - false (default)


### Response body	`json { "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" }`
request_id`string` The unique identifier for this call. > The parameter returned by the Java SDK is requestId
output`object` The call result information. Properties choices`array` The model output. Returned when result_format is message. Properties finish_reason`string` Valid values: - `null`: The output is still being generated. - `stop`: The output ended naturally or was terminated by a stop condition. - `length`: The output exceeded the maximum length limit. message`object` The message object output by the model. Properties role`string` The role of the output message. Set to assistant. content`array` The content of the output message. Properties text`string` The speech recognition result. annotations`array` The output annotation information, such as the language. Properties language`string` The language of the recognized audio. If the `language` request parameter is specified, this value is the same as the specified parameter. Valid values - zh: Chinese (Mandarin, Sichuanese, Minnan, and Wu) - yue: Cantonese - en: English - ja: Japanese - de: German - ko: Korean - ru: Russian - fr: French - pt: Portuguese - ar: Arabic - it: Italian - es: Spanish - hi: Hindi - id: Indonesian - th: Thai - tr: Turkish - uk: Ukrainian - vi: Vietnamese - cs: Czech - da: Danish - fil: Filipino - fi: Finnish - is: Icelandic - ms: Malay - no: Norwegian - pl: Polish - sv: Swedish type`string` Set to `audio_info`, which indicates audio information. emotion`string` The emotion of the recognized audio. The following emotions are supported: - `surprised`: surprised - `neutral`: neutral - `happy`: happy - `sad`: sad - `disgusted`: disgusted - `angry`: angry - `fearful`: fearful
usage`object` The token consumption information for this request. Properties input_tokens_details`object` The length of the input content for Qwen3-ASR-Flash in tokens. Properties text_tokens`integer` You can ignore this parameter. output_tokens_details`object` The length of the output content from Qwen3-ASR-Flash in tokens. Properties text_tokens`integer` The length of the recognized text output by Qwen3-ASR-Flash in tokens. seconds`integer` The audio duration for Qwen3-ASR-Flash in seconds.

DashScope asynchronous invocation

Process description

Asynchronous invocation is designed for long audio files or time-consuming tasks. It uses a two-step "submit-poll" process to prevent request timeouts:

Step 1: Submit a task
- The client initiates an asynchronous processing request.
- After validating the request, the server does not execute the task immediately. Instead, it returns a unique task_id, indicating that the task has been successfully created.
Step 2: Obtain the result
- The client uses the task_id to poll the result query API.
- When the task is complete, the result query API returns the final recognition result.

You can choose to use an SDK or call the RESTful API directly based on your integration environment.

Use an SDK. For sample code, see QuickStart. For request parameters, see the Request body of the Submit a task operation. For information about the response, see Description of asynchronous call results.

SDKs handle the underlying API call details automatically.

Submit a task: Call the async_call() (Python) or asyncCall() (Java) method to submit the task. This method returns a task object containing a task_id.
Obtain the result: Use the task object returned in the previous step or the task_id to call the fetch() method to retrieve the result. The SDK automatically handles the internal polling logic until the task is complete or times out.

Use a RESTful API

Calling the RESTful API directly provides maximum flexibility.

Submit the task. If the request is successful, the response body will contain a task_id.
Use the task_id from the previous step to retrieve the task execution result.

Submit a task

URL

Singapore

China (Beijing)

HTTP request address: POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/audio/asr/transcription

base_url for SDK calls: https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1

Replace WorkspaceId with your actual Workspace ID.

HTTP request address: POST https://dashscope.aliyuncs.com/api/v1/services/audio/asr/transcription

base_url for SDK calls: https://dashscope.aliyuncs.com/api/v1


#### Request body	cURL Java Python curl # ======= Important ======= # The following URL is for the Singapore region. Replace {WorkspaceId} with your actual Workspace ID. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1/services/audio/asr/transcription # The API keys for the Singapore and Beijing regions are different. For more information about how to obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key # === Delete this comment before running the command. === curl --location --request POST 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/audio/asr/transcription' \ --header "Authorization: Bearer $DASHSCOPE_API_KEY" \ --header "Content-Type: application/json" \ --header "X-DashScope-Async: enable" \ --data '{ "model": "qwen3-asr-flash-filetrans", "input": { "file_url": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3" }, "parameters": { "channel_id":[ 0 ], "enable_itn": false } }' For SDK examples, see QuickStart. java import com.google.gson.Gson; import com.google.gson.annotations.SerializedName; import okhttp3.; import java.io.IOException; public class Main { // The following URL is for the Singapore region. Replace {WorkspaceId} with your actual Workspace ID. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1/services/audio/asr/transcription private static final String API_URL = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/audio/asr/transcription"; public static void main(String[] args) { // The API keys for the Singapore and Beijing regions are different. For more information about how to obtain an API key, see 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: String apiKey = "sk-xxx" String apiKey = System.getenv("DASHSCOPE_API_KEY"); OkHttpClient client = new OkHttpClient(); Gson gson = new Gson(); /String payloadJson = """ { "model": "qwen3-asr-flash-filetrans", "input": { "file_url": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3" }, "parameters": { "channel_id": [0], "enable_itn": false, "language": "zh", "corpus": { "text": "" } } } """;*/ String payloadJson = """ { "model": "qwen3-asr-flash-filetrans", "input": { "file_url": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3" }, "parameters": { "channel_id": [0], "enable_itn": false } } """; RequestBody body = RequestBody.create(payloadJson, MediaType.get("application/json; charset=utf-8")); Request request = new Request.Builder() .url(API_URL) .addHeader("Authorization", "Bearer " + apiKey) .addHeader("Content-Type", "application/json") .addHeader("X-DashScope-Async", "enable") .post(body) .build(); try (Response response = client.newCall(request).execute()) { if (response.isSuccessful() && response.body() != null) { String respBody = response.body().string(); // Parse JSON using Gson ApiResponse apiResp = gson.fromJson(respBody, ApiResponse.class); if (apiResp.output != null) { System.out.println("task_id: " + apiResp.output.taskId); } else { System.out.println(respBody); } } else { System.out.println("task failed! HTTP code: " + response.code()); if (response.body() != null) { System.out.println(response.body().string()); } } } catch (IOException e) { e.printStackTrace(); } } static class ApiResponse { @SerializedName("request_id") String requestId; Output output; } static class Output { @SerializedName("task_id") String taskId; @SerializedName("task_status") String taskStatus; } } For SDK examples, see QuickStart. python import requests import json import os # The following URL is for the Singapore region. Replace {WorkspaceId} with your actual Workspace ID. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1/services/audio/asr/transcription url = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/audio/asr/transcription" # The API keys for the Singapore and Beijing regions are different. For more information about how to obtain an API key, see 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: DASHSCOPE_API_KEY = "sk-xxx" DASHSCOPE_API_KEY = os.getenv("DASHSCOPE_API_KEY") headers = { "Authorization": f"Bearer {DASHSCOPE_API_KEY}", "Content-Type": "application/json", "X-DashScope-Async": "enable" } payload = { "model": "qwen3-asr-flash-filetrans", "input": { "file_url": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3" }, "parameters": { "channel_id": [0], # "language": "zh", "enable_itn": False # "corpus": { # "text": "" # } } } response = requests.post(url, headers=headers, data=json.dumps(payload)) if response.status_code == 200: print(f"task_id: {response.json()["output"]["task_id"]}") else: print("task failed!") print(response.json())
model`string` (Required) The model name. This parameter applies only to the Qwen3-ASR-Flash-Filetrans model.
input`object` (Required) Properties file_url`string` (Required) The URL of the audio file to be recognized. The URL must be accessible over the public network. When you use an SDK, if the audio file is stored in OSS, temporary URLs that start with `oss://` are not supported. When you use a RESTful API, if the audio file is stored in OSS, temporary URLs that start with `oss://` are supported. Note: Important - Temporary URLs are valid for 48 hours. After expiration, they cannot be used. Do not use them in production environments. - The file upload credential API is rate-limited to 100 QPS and cannot be scaled up. Do not use it in production, high-concurrency, or stress testing scenarios. - For production environments, we recommend using stable storage services such as Alibaba Cloud OSS to ensure long-term file availability and avoid rate limiting issues.
parameters`object`(Optional) Properties language string (Optional) No default value If the language of the audio is known, you can specify it using this parameter to improve recognition accuracy. You can specify only one language. If the audio language is uncertain or includes multiple languages (such as a mix of Chinese, English, Japanese, and Korean), do not specify this parameter. Valid values - zh: Chinese (Mandarin, Sichuanese, Minnan, and Wu) - yue: Cantonese - en: English - ja: Japanese - de: German - ko: Korean - ru: Russian - fr: French - pt: Portuguese - ar: Arabic - it: Italian - es: Spanish - hi: Hindi - id: Indonesian - th: Thai - tr: Turkish - uk: Ukrainian - vi: Vietnamese - cs: Czech - da: Danish - fil: Filipino - fi: Finnish - is: Icelandic - ms: Malay - no: Norwegian - pl: Polish - sv: Swedish enable_itn`boolean` (Optional) Defaults to: `false` Specifies whether to enable Inverse Text Normalization (ITN). This feature applies only to Chinese and English audio. - true - false (default) enable_words`boolean`(Optional) Defaults to: `false` Specifies whether to return word-level timestamps: - `false`: Returns sentence-level timestamps. - `true`: Returns word-level timestamps. Word-level timestamps are supported only for the following languages: Chinese, English, Japanese, Korean, German, French, Spanish, Italian, Portuguese, and Russian. Accuracy for other languages cannot be guaranteed. This parameter also affects the sentence segmentation rules: - `false`: Sentence segmentation is based on Voice Activity Detection (VAD). - `true`: Sentence segmentation is based on VAD and punctuation. channel_id`array`(Optional) Defaults to: `[0]` Specifies the indexes of the audio tracks to be recognized in a multi-track audio file. The index starts from 0. For example, [0] indicates that the first audio track is recognized, and [0, 1] indicates that the first and second audio tracks are recognized simultaneously. If this parameter is omitted, the first audio track is processed by default. Important Each specified audio track is billed separately. For example, requesting [0, 1] for a single file will incur two separate charges.


#### Response body	`json { "request_id": "92e3decd-0c69-47a8-**********", "output": { "task_id": "8fab76d0-0eed-4d20-**********", "task_status": "PENDING" } }`
request_id`string` The unique identifier for this call.
output`object` The call result information. Properties task_id`string` The task ID. This ID is passed as a request parameter in the API for querying speech recognition tasks. task_status`string` The task status: - PENDING - RUNNING - SUCCEEDED - FAILED - UNKNOWN: The task does not exist or its status is unknown.

Get the task execution result

URL

Singapore

China (Beijing)

HTTP request address: GET https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/tasks/{task_id}

base_url for SDK calls: https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1

Replace WorkspaceId with your actual Workspace ID.

HTTP request address: GET https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}

base_url for SDK calls: https://dashscope.aliyuncs.com/api/v1

#### Request body cURL Java Python curl # ======= Important ======= # The following URL is for the Singapore region. Replace {WorkspaceId} with your actual Workspace ID. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}. Note that you must replace {task_id} with the ID of the task to be queried. # The API keys for the Singapore and Beijing regions are different. For more information about how to obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key # === Delete this comment before running the command. === curl --location --request GET 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/tasks/{task_id}' \ --header "Authorization: Bearer $DASHSCOPE_API_KEY" \ --header "Content-Type: application/json" For SDK examples, see QuickStart. java import okhttp3.*; import java.io.IOException; public class Main { public static void main(String[] args) { // Replace with the actual task_id. String taskId = "xxx"; // The API keys for the Singapore and Beijing regions are different. For more information about how to obtain an API key, see 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: String apiKey = "sk-xxx" String apiKey = System.getenv("DASHSCOPE_API_KEY"); // The following URL is for the Singapore region. Replace {WorkspaceId} with your actual Workspace ID. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}. Note that you must replace {task_id} with the ID of the task to be queried. String apiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/tasks/" + taskId; OkHttpClient client = new OkHttpClient(); Request request = new Request.Builder() .url(apiUrl) .addHeader("Authorization", "Bearer " + apiKey) .addHeader("Content-Type", "application/json") .get() .build(); try (Response response = client.newCall(request).execute()) { if (response.body() != null) { System.out.println(response.body().string()); } } catch (IOException e) { e.printStackTrace(); } } } For SDK examples, see QuickStart. python import os import requests # The API keys for the Singapore and Beijing regions are different. For more information about how to obtain an API key, see 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: DASHSCOPE_API_KEY = "sk-xxx" DASHSCOPE_API_KEY = os.getenv("DASHSCOPE_API_KEY") # Replace with the actual task_id. task_id = "xxx" # The following URL is for the Singapore region. Replace {WorkspaceId} with your actual Workspace ID. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}. Note that you must replace {task_id} with the ID of the task to be queried. url = f"https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/tasks/{task_id}" headers = { "Authorization": f"Bearer {DASHSCOPE_API_KEY}", "Content-Type": "application/json" } response = requests.get(url, headers=headers) print(response.json())

task_idstring (Required) The task ID. Pass the task_id from the response of the Submit a task operation to query the speech recognition result.


#### Request body	cURL Java Python curl # ======= Important ======= # The following URL is for the Singapore region. Replace {WorkspaceId} with your actual Workspace ID. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}. Note that you must replace {task_id} with the ID of the task to be queried. # The API keys for the Singapore and Beijing regions are different. For more information about how to obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key # === Delete this comment before running the command. === curl --location --request GET 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/tasks/{task_id}' \ --header "Authorization: Bearer $DASHSCOPE_API_KEY" \ --header "Content-Type: application/json" For SDK examples, see QuickStart. java import okhttp3.*; import java.io.IOException; public class Main { public static void main(String[] args) { // Replace with the actual task_id. String taskId = "xxx"; // The API keys for the Singapore and Beijing regions are different. For more information about how to obtain an API key, see 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: String apiKey = "sk-xxx" String apiKey = System.getenv("DASHSCOPE_API_KEY"); // The following URL is for the Singapore region. Replace {WorkspaceId} with your actual Workspace ID. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}. Note that you must replace {task_id} with the ID of the task to be queried. String apiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/tasks/" + taskId; OkHttpClient client = new OkHttpClient(); Request request = new Request.Builder() .url(apiUrl) .addHeader("Authorization", "Bearer " + apiKey) .addHeader("Content-Type", "application/json") .get() .build(); try (Response response = client.newCall(request).execute()) { if (response.body() != null) { System.out.println(response.body().string()); } } catch (IOException e) { e.printStackTrace(); } } } For SDK examples, see QuickStart. python import os import requests # The API keys for the Singapore and Beijing regions are different. For more information about how to obtain an API key, see 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: DASHSCOPE_API_KEY = "sk-xxx" DASHSCOPE_API_KEY = os.getenv("DASHSCOPE_API_KEY") # Replace with the actual task_id. task_id = "xxx" # The following URL is for the Singapore region. Replace {WorkspaceId} with your actual Workspace ID. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}. Note that you must replace {task_id} with the ID of the task to be queried. url = f"https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/tasks/{task_id}" headers = { "Authorization": f"Bearer {DASHSCOPE_API_KEY}", "Content-Type": "application/json" } response = requests.get(url, headers=headers) print(response.json())
task_id`string` (Required) The task ID. Pass the task_id from the response of the Submit a task operation to query the speech recognition result.


#### Response body	RUNNING SUCCEEDED FAILED `json { "request_id": "6769df07-2768-4fb0-ad59-**********", "output": { "task_id": "9be1700a-0f8e-4778-be74-********", "task_status": "RUNNING", "submit_time": "2025-10-27 14:19:31.150", "scheduled_time": "2025-10-27 14:19:31.233", "task_metrics": { "TOTAL": 1, "SUCCEEDED": 0, "FAILED": 0 } } }` json { "request_id": "1dca6c0a-0ed1-4662-aa39-********", "output": { "task_id": "8fab76d0-0eed-4d20-929f-********", "task_status": "SUCCEEDED", "submit_time": "2025-10-27 13:57:45.948", "scheduled_time": "2025-10-27 13:57:46.018", "end_time": "2025-10-27 13:57:47.079", "result": { "transcription_url": "http://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/pre/pre-funasr-mlt-v1/20251027/13%3A57/7a3a8236-ffd1-4099-a280-0299686ac7da.json?Expires=1761631066&OSSAccessKeyId=LTAI**********&Signature=1lKv4RgyWCarRuUdIiErOeOBnwM%3D&response-content-disposition=attachment%3Bfilename%3D7a3a8236-ffd1-4099-a280-0299686ac7da.json" } }, "usage": { "seconds": 3 } } `json { "request_id": "3d141841-858a-466a-9ff9-********", "output": { "task_id": "c58c7951-7789-4557-9ea3-**********", "task_status": "FAILED", "submit_time": "2025-10-27 15:06:06.915", "scheduled_time": "2025-10-27 15:06:06.967", "end_time": "2025-10-27 15:06:07.584", "code": "FILE_403_FORBIDDEN", "message": "FILE_403_FORBIDDEN" } }`
request_id`string` The unique identifier for this call.
output`object` The call result information. Properties task_id`string` The task ID. This ID is passed as a request parameter in the API for querying speech recognition tasks. task_status`string` The task status: - PENDING - RUNNING - SUCCEEDED - FAILED - UNKNOWN: The task does not exist or its status is unknown. result`object` The speech recognition result. Properties transcription_url`string` The download URL for the recognition result file. The link is valid for 24 hours. After the link expires, you cannot query the task or download the result using the previous URL. The recognition result is saved as a JSON file. You can download the file from this link or read the file content directly using an HTTP request. For more information, see Description of asynchronous call results. submit_time`string` The time when the task was submitted. schedule_time`string` The time when the task was scheduled, which is the start time of execution. end_time`string` The time when the task ended. task_metrics`object` Task metrics, which include statistics on the status of subtasks. Properties TOTAL`integer` The total number of subtasks. SUCCEEDED`integer` The number of successful subtasks. FAILED`integer` The number of failed subtasks. code`string` The error code. This is returned only when the task fails. message`string` The error message. This is returned only when the task fails. usage`object` The token consumption information for this request. Properties seconds`integer` The audio duration for Qwen3-ASR-Flash in seconds.


### Description of asynchronous call results	json { "file_url": "https://***.wav", "audio_info": { "format": "wav", "sample_rate": 16000 }, "transcripts": [ { "channel_id": 0, "text": "Senior staff, Principal Doris Jackson, Wakefield faculty, and of course my fellow classmates.I am honored to have been chosen to speak before my classmates along with the students across America today.", "sentences": [ { "sentence_id": 0, "begin_time": 240, "end_time": 6720, "language": "en", "emotion": "happy", "text": "Senior staff, Principal Doris Jackson, Wakefield faculty, and of course my fellow classmates.", "words": [ { "begin_time": 240, "end_time": 1120, "text": "Senior ", "punctuation": "" }, { "begin_time": 1120, "end_time": 1200, "text": "staff", "punctuation": "," }, { "begin_time": 1680, "end_time": 1920, "text": " Principal ", "punctuation": "" }, { "begin_time": 2000, "end_time": 2320, "text": "Doris ", "punctuation": "" }, { "begin_time": 2320, "end_time": 2960, "text": "Jackson", "punctuation": "," }, { "begin_time": 3360, "end_time": 3840, "text": " Wakefield ", "punctuation": "" }, { "begin_time": 3840, "end_time": 4480, "text": "faculty", "punctuation": "," }, { "begin_time": 4800, "end_time": 4960, "text": " and ", "punctuation": "" }, { "begin_time": 4960, "end_time": 5040, "text": "of ", "punctuation": "" }, { "begin_time": 5040, "end_time": 5520, "text": "course ", "punctuation": "" }, { "begin_time": 5520, "end_time": 5680, "text": "my ", "punctuation": "" }, { "begin_time": 5760, "end_time": 6000, "text": "fellow ", "punctuation": "" }, { "begin_time": 6000, "end_time": 6720, "text": "classmates", "punctuation": "." } ] }, { "sentence_id": 1, "begin_time": 12268, "end_time": 17388, "language": "en", "emotion": "neutral", "text": "I am honored to have been chosen to speak before my classmates along with the students across America today.", "words": [ { "begin_time": 12268, "end_time": 12428, "text": "I ", "punctuation": "" }, { "begin_time": 12428, "end_time": 12508, "text": "am ", "punctuation": "" }, { "begin_time": 12588, "end_time": 12828, "text": "honored ", "punctuation": "" }, { "begin_time": 12908, "end_time": 12908, "text": "to ", "punctuation": "" }, { "begin_time": 12908, "end_time": 13068, "text": "have ", "punctuation": "" }, { "begin_time": 13068, "end_time": 13228, "text": "been ", "punctuation": "" }, { "begin_time": 13228, "end_time": 13628, "text": "chosen ", "punctuation": "" }, { "begin_time": 13628, "end_time": 13708, "text": "to ", "punctuation": "" }, { "begin_time": 13708, "end_time": 14028, "text": "speak ", "punctuation": "" }, { "begin_time": 14028, "end_time": 14268, "text": "before ", "punctuation": "" }, { "begin_time": 14268, "end_time": 14428, "text": "my ", "punctuation": "" }, { "begin_time": 14428, "end_time": 15148, "text": "classmates ", "punctuation": "" }, { "begin_time": 15308, "end_time": 15468, "text": "as ", "punctuation": "" }, { "begin_time": 15468, "end_time": 15628, "text": "well ", "punctuation": "" }, { "begin_time": 15628, "end_time": 15788, "text": "as ", "punctuation": "" }, { "begin_time": 15788, "end_time": 15788, "text": "the ", "punctuation": "" }, { "begin_time": 15788, "end_time": 16188, "text": "students ", "punctuation": "" }, { "begin_time": 16188, "end_time": 16588, "text": "across ", "punctuation": "" }, { "begin_time": 16588, "end_time": 16988, "text": "America ", "punctuation": "" }, { "begin_time": 16988, "end_time": 17388, "text": "today", "punctuation": "." } ] } ] } ] }
file_url`string` The URL of the recognized audio file.
audio_info`object` Information about the recognized audio file. Properties format`string` The audio format. sample_rate`integer` The audio sampling rate.
transcripts`array` A list of complete recognition results. Each element corresponds to the recognized content of an audio track. Properties channel_id`integer` The audio track index, starting from 0. text`string` The recognized text. sentences`object` A list of sentence-level recognition results. Properties begin_time`integer` The start timestamp of the sentence in milliseconds. end_time`integer` The end timestamp of the sentence in milliseconds. text`string` The recognized text. sentence_id`integer` The sentence index, starting from 0. language`string` The language of the recognized audio. If the `language` request parameter is specified, this value is the same as the specified parameter. Valid values - zh: Chinese (Mandarin, Sichuanese, Minnan, and Wu) - yue: Cantonese - en: English - ja: Japanese - de: German - ko: Korean - ru: Russian - fr: French - pt: Portuguese - ar: Arabic - it: Italian - es: Spanish - hi: Hindi - id: Indonesian - th: Thai - tr: Turkish - uk: Ukrainian - vi: Vietnamese - cs: Czech - da: Danish - fil: Filipino - fi: Finnish - is: Icelandic - ms: Malay - no: Norwegian - pl: Polish - sv: Swedish emotion`string` The emotion of the recognized audio. The following emotions are supported: - `surprised` - `neutral` - `happy` - `sad` - `disgusted` - `angry` - `fearful` words`object` A list of word-level recognition results. This result is displayed when the `enable_words` request parameter is set to `true`. Properties begin_time`integer` The start timestamp in milliseconds. end_time`integer` The end timestamp in milliseconds. text`string` The recognized text. punctuation`string` The punctuation mark.

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