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Submit Async Transcription Tasks via Fun-ASR Java SDK ​

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The parameters and interface details of the Fun-ASR audio file recognition Java SDK.

Important

The legacy domain https://dashscope-intl.aliyuncs.com for the Singapore region will be deprecated soon. Please migrate to the new domain https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com as soon as possible.

User guide: Non-real-time speech recognition. For supported audio formats, file size limits, duration limits, and other input requirements, see Audio specifications.

Prerequisites ​

  • You have activated the Model Studio and created an API key. Export it as an environment variable (not hard-coded) to prevent security risks.

Note

For temporary access or strict control over high-risk operations (accessing/deleting sensitive data), use a temporary authentication token instead.

Compared with long-term API keys, temporary tokens are more secure (60-second lifespan) and reduce API key leakage risk.

To use a temporary token, replace the API key used for authentication in your code with the temporary authentication token.

  • Install the latest version of the DashScope SDK.

Getting started ​

The core class ( Transcription) provides interfaces for submitting tasks asynchronously, waiting for tasks to finish synchronously, and querying task results asynchronously. You can use the following two methods to perform audio file recognition:

  • Asynchronous submission and synchronous wait: Submit a task and block the current thread until the task is complete to retrieve the recognition result.

  • Asynchronous submission and asynchronous query: Submit a task and then call the query interface to retrieve the task result when needed.

Asynchronous submission + synchronous wait ​

  1. Configure request parameters.

  2. Instantiate the core class (Transcription).

  3. Call the asyncCall method of the core class (Transcription) to asynchronously submit the task.

Note

  • Tasks enter the PENDING state after submission. Queuing time (typically a few minutes) depends on the queue length and file duration. Once processing starts, speech recognition completes at significantly accelerated speed.

  • Recognition results and download URLs expire 24 hours after the task completes. Tasks become unqueryable after expiration.

  1. Call the wait method of the core class (Transcription) to synchronously wait for the task to finish.

Task statuses include PENDING, RUNNING, SUCCEEDED, and FAILED. The wait interface blocks on PENDING/RUNNING and unblocks when the task reaches SUCCEEDED or FAILED, returning the task execution result.

wait returns the task execution result (TranscriptionResult).

Click to view the complete example

java
import com.alibaba.dashscope.audio.asr.transcription.*;
import com.alibaba.dashscope.utils.Constants;
import com.google.gson.*;

import java.util.Arrays;

public class Main {
    public static void main(String[] args) {
        // The following URL is for the Singapore region. Replace WorkspaceId with your actual workspace ID. The URLs vary by region.
        Constants.baseHttpApiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
        // Create transcription request parameters.
        TranscriptionParam param =
                TranscriptionParam.builder()
                        // The API keys for the Singapore and Beijing regions are different. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key.
                        // If you have not configured an environment variable, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                        //.apiKey("apikey")
                        .model("fun-asr") // Here, fun-asr is used as an example. You can change the model name as needed. For a list of models, see https://www.alibabacloud.com/help/en/model-studio/models.
                        .fileUrls(
                                Arrays.asList(
                                        "https://dashscope.oss-cn-beijing.aliyuncs.com/samples/audio/paraformer/hello_world_female2.wav"))
                        .build();
        try {
            Transcription transcription = new Transcription();
            // Submit the transcription request.
            TranscriptionResult result = transcription.asyncCall(param);
            System.out.println("RequestId: " + result.getRequestId());
            // Block and wait for the task to complete, then get the result.
            result = transcription.wait(
                    TranscriptionQueryParam.FromTranscriptionParam(param, result.getTaskId()));
            // Print the result.
            System.out.println(new GsonBuilder().setPrettyPrinting().create().toJson(result.getOutput()));
        } catch (Exception e) {
            System.out.println("error: " + e);
        }
        System.exit(0);
    }
}

Asynchronous submission + asynchronous query ​

  1. Configure request parameters.

  2. Instantiate the core class (Transcription).

  3. Call the asyncCall method of the core class (Transcription) to asynchronously submit the task.

Note

  • Tasks enter the PENDING state after submission. Queuing time (typically a few minutes) depends on the queue length and file duration. Once processing starts, speech recognition completes at significantly accelerated speed.

  • Recognition results and download URLs expire 24 hours after the task completes. Tasks become unqueryable after expiration.

  1. Repeatedly call the fetch method of the core class (Transcription) until you retrieve the final task result.

If the task status is SUCCEEDED or FAILED, stop polling and process the result.

fetch returns the task execution result (TranscriptionResult).

Click to view the complete example

java
import com.alibaba.dashscope.audio.asr.transcription.*;
import com.alibaba.dashscope.common.TaskStatus;
import com.alibaba.dashscope.utils.Constants;
import com.google.gson.*;

import java.util.Arrays;

public class Main {
    public static void main(String[] args) {
        // The following URL is for the Singapore region. Replace WorkspaceId with your actual workspace ID. The URLs vary by region.
        Constants.baseHttpApiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
        // Create transcription request parameters.
        TranscriptionParam param =
                TranscriptionParam.builder()
                        // The API keys for the Singapore and Beijing regions are different. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key.
                        // If you have not configured an environment variable, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                        //.apiKey("apikey")
                        .model("fun-asr") // Here, fun-asr is used as an example. You can change the model name as needed. For a list of models, see https://www.alibabacloud.com/help/en/model-studio/models.
                        .fileUrls(
                                Arrays.asList(
                                        "https://dashscope.oss-cn-beijing.aliyuncs.com/samples/audio/paraformer/hello_world_female2.wav"))
                        .build();
        try {
            Transcription transcription = new Transcription();
            // Submit the transcription request.
            TranscriptionResult result = transcription.asyncCall(param);
            System.out.println("RequestId: " + result.getRequestId());
            // Poll for the task execution result until the task is complete.
            while (true) {
                result = transcription.fetch(TranscriptionQueryParam.FromTranscriptionParam(param, result.getTaskId()));
                if (result.getTaskStatus() == TaskStatus.SUCCEEDED || result.getTaskStatus() == TaskStatus.FAILED) {
                    break;
                }
                Thread.sleep(1000);
            }
            // Print the result.
            System.out.println(new GsonBuilder().setPrettyPrinting().create().toJson(result.getOutput()));
        } catch (Exception e) {
            System.out.println("error: " + e);
        }
        System.exit(0);
    }
}

Request parameters ​

Configure the request parameters using the chained methods of TranscriptionParam.

Click to view an example

java
TranscriptionParam param = TranscriptionParam.builder()
  .model("fun-asr")
  .fileUrls(
          Arrays.asList(
                  "https://dashscope.oss-cn-beijing.aliyuncs.com/samples/audio/paraformer/hello_world_female2.wav"))
  .build();
ParameterTypeDefault valueRequiredDescription
ParameterTypeDefault valueRequiredDescription
modelString-YesThe model used to transcribe the audio or video file. Valid values: - fun-asr - fun-asr-2025-11-07 - fun-asr-2025-08-25 - fun-asr-mtl - fun-asr-mtl-2025-08-25
fileUrlsList<String>-YesA list of URLs for the audio and video files to be transcribed. The HTTP and HTTPS protocols are supported. A single request supports only 1 URL. If your audio files are stored in OSS, the SDK does not support temporary URLs that start with the oss:// prefix.
vocabularyIdString-NoThe ID of a hotword vocabulary. The hotwords in the specified vocabulary take effect during this speech recognition task. This feature is disabled by default. For more information about how to use this feature, see Custom hotwords.
channelIdList<Integer>[0]NoIndexes of sound channels to recognize in a multi-channel audio file. The index starts from 0. For example, [0] recognizes the first channel, and [0, 1] recognizes the first and second channels. If omitted, the first channel is processed by default. Important Each specified sound channel is billed separately. For example, a request for [0, 1] for a single file incurs two separate charges.
specialWordFilterString-NoSpecifies the sensitive words to handle during speech recognition. You can configure different handling actions for individual sensitive words. For details, see Sensitive word filter.
diarizationEnabledBooleanfalseNoAutomatic speaker diarization is disabled by default. This feature applies to single-channel audio only (not supported for multi-channel audio). When enabled, recognition results include the speaker_id field to distinguish speakers. Note If speaker diarization is enabled, keep the audio duration under 2 hours. Audio exceeding 2 hours may cause recognition failures or timeouts. For an example of speaker_id, see Recognition result description.
speakerCountInteger-NoThis parameter is a speaker count hint (an integer from 2 to 100). It only takes effect when diarizationEnabled is true. By default, speaker count is auto-detected. This parameter assists the algorithm but does not guarantee the exact speaker count.
language_hintsString[]-NoThe language code for recognition. If the source language is unknown, leave it unset and the model detects the language automatically. The system reads only the first value in the array. Any extra values are ignored. Click to view the supported language codes - fun-asr, fun-asr-2025-11-07, fun-asr-mtl, fun-asr-mtl-2025-08-25: - zh: Chinese - en: English - ja: Japanese - ko: Korean - vi: Vietnamese - th: Thai - id: Indonesian - ms: Malay - tl: Filipino - hi: Hindi - ar: Arabic - fr: French - de: German - es: Spanish - pt: Portuguese - ru: Russian - it: Italian - nl: Dutch - sv: Swedish - da: Danish - fi: Finnish - no: Norwegian - el: Greek - pl: Polish - cs: Czech - hu: Hungarian - ro: Romanian - bg: Bulgarian - hr: Croatian - sk: Slovak - fun-asr-2025-08-25: - zh: Chinese - en: English Note language_hints must be set using the parameter or parameters method of the TranscriptionParam instance: Set using parameter Set using parameters java TranscriptionParam param = TranscriptionParam.builder() .model("fun-asr") .parameter("language_hints", new String[]{"zh"}) .build(); java TranscriptionParam param = TranscriptionParam.builder() .model("fun-asr") .parameters(Collections.singletonMap("language_hints", new String[]{"zh"})) .build();
apiKeyString-NoYour API key. If you have configured the API key as an environment variable, you do not need to set it in the code. Otherwise, you must set it in the code.

Response ​

Task execution result (TranscriptionResult) ​

TranscriptionResult encapsulates the current task execution result.

Interface/MethodParameterReturn valueDescription
Interface/MethodParameterReturn valueDescription
java public String getRequestId() NonerequestIdGets the request ID.
java public String getTaskId() NonetaskIdGets the task ID.
java public TaskStatus getTaskStatus() NoneTaskStatus, task statusGets the task status. TaskStatus is an enumeration class. You only need to be concerned with the PENDING, RUNNING, SUCCEEDED, and FAILED statuses. Note When a task contains multiple subtasks, the overall task status is marked as SUCCEEDED as long as at least one subtask succeeds. You need to check the subtask_status field to determine the result of each specific subtask.
java public List<TranscriptionTaskResult> getResults() NoneSubtask execution result (TranscriptionTaskResult)Gets the subtask execution result (TranscriptionTaskResult). Each task recognizes one or more audio files. Different audio files are processed in different subtasks. Therefore, each task corresponds to one or more subtasks.
java public JsonObject getOutput() NoneTask execution result, in JSON formatGets the task execution result. The result is in JSON format. If you use the getOutput interface to get the task execution result, you must parse the JSON data after you receive it. Click to view a JSON example Normal example json { "task_id":"0795ff8c-b666-4e91-bb8b-xxx", "task_status":"SUCCEEDED", "submit_time":"2025-02-13 16:12:09.109", "scheduled_time":"2025-02-13 16:12:09.128", "end_time":"2025-02-13 16:12:10.189", "results":[ { "file_url":"https://dashscope.oss-cn-beijing.aliyuncs.com/samples/audio/paraformer/hello_world_female2.wav", "transcription_url":"https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/prod/paraformer-v2/20250213/16%3A12/3baafe5f-d09d-46c6-8b01-724927670edb-1.json?Expires=1739520730&OSSAccessKeyId=yourOSSAccessKeyId&Signature=BF7vPxlsJN9hkJlY%2BLReezxOwK8%3D", "subtask_status":"SUCCEEDED" } ], "task_metrics":{ "TOTAL":1, "SUCCEEDED":1, "FAILED":0 } } Abnormal example "code" is the error code and "message" is the error message. These two fields appear only in case of an error. You can use these fields to troubleshoot the issue by referring to the Error codes. json { "task_id": "7bac899c-06ec-4a79-8875-xxxxxxxxxxxx", "task_status": "SUCCEEDED", "submit_time": "2024-12-16 16:30:59.170", "scheduled_time": "2024-12-16 16:30:59.204", "end_time": "2024-12-16 16:31:02.375", "results": [ { "file_url": "https://dashscope.oss-cn-beijing.aliyuncs.com/samples/audio/sensevoice/rich_text_exaple_1.wav", "code": "InvalidFile.DownloadFailed", "message": "The audio file cannot be downloaded.", "subtask_status": "FAILED" } ], "task_metrics": { "TOTAL": 1, "SUCCEEDED": 0, "FAILED": 1 } }

Subtask execution result (TranscriptionTaskResult) ​

TranscriptionTaskResult encapsulates the subtask execution result. A subtask is the recognition of a single audio file.

Interface/MethodParameterReturn valueDescription
Interface/MethodParameterReturn valueDescription
java public String getFileUrl() NoneURL of the recognized audio fileGets the URL of the recognized audio file.
java public String getTranscriptionUrl() NoneURL for the recognition resultGets the URL for the recognition result. This URL is valid for 24 hours. After this period, you cannot query the task or download the result using the URL from a previous query. The recognition result is saved as a JSON file. You can download this file from the URL or read its content directly through an HTTP request. For the meaning of each field in the JSON data, see Recognition result description.
java public TaskStatus getSubTaskStatus() NoneTaskStatus, subtask statusGets the subtask status. TaskStatus is an enumeration class. You only need to be concerned with the PENDING, RUNNING, SUCCEEDED, and FAILED statuses.
java public String getMessage() NoneKey information from the task execution process. May be empty.Gets key information from the task execution process. If a task fails, you can view this content to analyze the cause.

Recognition result description ​

The recognition result is saved as a JSON file.

Click to view a recognition result example

json
{
    "file_url":"https://dashscope.oss-cn-beijing.aliyuncs.com/samples/audio/paraformer/hello_world_female2.wav",
    "properties":{
        "audio_format":"pcm_s16le",
        "channels":[\
            0\
        ],
        "original_sampling_rate":16000,
        "original_duration_in_milliseconds":3834
    },
    "transcripts":[\
        {\
            "channel_id":0,\
            "content_duration_in_milliseconds":3720,\
            "text":"Hello world, this is Alibaba Speech Lab.",\
            "sentences":[\
                {\
                    "begin_time":100,\
                    "end_time":3820,\
                    "text":"Hello world, this is Alibaba Speech Lab.",\
                    "sentence_id":1,\
                    "speaker_id":0, // This field is displayed only when automatic speaker diarization is enabled.\
                    "words":[\
                        {\
                            "begin_time":100,\
                            "end_time":596,\
                            "text":"Hello ",\
                            "punctuation":""\
                        },\
                        {\
                            "begin_time":596,\
                            "end_time":844,\
                            "text":"world",\
                            "punctuation":", "\
                        }\
                        // Other content is omitted here.\
                    ]\
                }\
            ]\
        }\
    ]
}

The key parameters are as follows:

ParameterTypeDescription
ParameterTypeDescription
audio_formatstringThe format of the audio in the source file.
channelsarray[integer]The audio track index information in the source file. Returns [0] for single-track audio, [0, 1] for dual-track audio, and so on.
original_sampling_rateintegerThe sample rate of the audio in the source file (Hz).
original_duration_in_millisecondsintegerThe original duration of the audio in the source file (ms).
channel_idintegerThe index of the transcribed audio track, starting from 0.
content_duration_in_millisecondsintegerThe duration of the content in the audio track that is identified as speech (ms). Important Billing is based on speech content duration only (non-speech parts are not metered). Speech duration is typically shorter than total audio duration. The AI-based speech detection may have minor discrepancies.
transcriptstringThe paragraph-level speech transcription result.
sentencesarrayThe sentence-level speech transcription result.
wordsarrayThe word-level speech transcription result.
begin_timeintegerStart timestamp (ms).
end_timeintegerEnd timestamp (ms).
textstringThe speech transcription result.
speaker_idintegerThe index of the current speaker, starting from 0. This is used to distinguish different speakers. This field is displayed in the recognition result only when speaker diarization is enabled.
punctuationstringThe predicted punctuation mark after the word, if any.

Key interfaces ​

Task query parameter class (TranscriptionQueryParam) ​

TranscriptionQueryParam is used when waiting for a task to complete (by calling the wait method of Transcription) or querying a task execution result (by calling the fetch method of Transcription).

Create a TranscriptionQueryParam instance using the static method FromTranscriptionParam.

Click to view an example

java
// Create transcription request parameters.
TranscriptionParam param =
        TranscriptionParam.builder()
                // If you have not configured the API key as an environment variable, replace apiKey with your own API key.
                //.apiKey("apikey")
                .model("fun-asr")
                .fileUrls(
                        Arrays.asList(
                                "https://dashscope.oss-cn-beijing.aliyuncs.com/samples/audio/paraformer/hello_world_female2.wav"))
                .build();
try {
    Transcription transcription = new Transcription();
    // Submit the transcription request.
    TranscriptionResult result = transcription.asyncCall(param);
    System.out.println("RequestId: " + result.getRequestId());
    TranscriptionQueryParam queryParam = TranscriptionQueryParam.FromTranscriptionParam(param, result.getTaskId());

} catch (Exception e) {
    System.out.println("error: " + e);
}
Interface/MethodParameterReturn valueDescription
Interface/MethodParameterReturn valueDescription
java public static TranscriptionQueryParam FromTranscriptionParam(TranscriptionParam param, String taskId) - param: A TranscriptionParam instance - taskId: The task IDA TranscriptionQueryParam instanceCreates a TranscriptionQueryParam instance.

Core class ( Transcription) ​

You can import Transcription using the statement import com.alibaba.dashscope.audio.asr.transcription.*;. The key interfaces of this class are as follows:

Interface/MethodParameterReturn valueDescription
Interface/MethodParameterReturn valueDescription
java public TranscriptionResult asyncCall(TranscriptionParam param) param: Speech recognition parameters, a TranscriptionParam instanceTask execution result (TranscriptionResult)Asynchronously submits a speech recognition task.
java public TranscriptionResult wait(TranscriptionQueryParam queryParam) queryParam: A TranscriptionQueryParam instanceTask execution result (TranscriptionResult)Blocks the current thread until the asynchronous task is complete (task status is SUCCEEDED or FAILED).
java public TranscriptionResult fetch(TranscriptionQueryParam queryParam) queryParam: A TranscriptionQueryParam instanceTask execution result (TranscriptionResult)Asynchronously queries the execution result of the current task.

Error codes ​

If an error occurs, see Error codes to troubleshoot the issue.

If a task contains multiple subtasks, the overall task status is marked as SUCCEEDED if at least one subtask succeeds. You must check the subtask_status field to determine the result of each subtask.

Example of an error response:

json
{
    "task_id": "7bac899c-06ec-4a79-8875-xxxxxxxxxxxx",
    "task_status": "SUCCEEDED",
    "submit_time": "2024-12-16 16:30:59.170",
    "scheduled_time": "2024-12-16 16:30:59.204",
    "end_time": "2024-12-16 16:31:02.375",
    "results": [\
        {\
            "file_url": "https://dashscope.oss-cn-beijing.aliyuncs.com/samples/audio/sensevoice/rich_text_exaple_1.wav",\
            "code": "InvalidFile.DownloadFailed",\
            "message": "The audio file cannot be downloaded.",\
            "subtask_status": "FAILED"\
        }\
    ],
    "task_metrics": {
        "TOTAL": 1,
        "SUCCEEDED": 0,
        "FAILED": 1
    }
}

FAQ ​

Features ​

Q: Is audio in Base64 encoding supported? ​

This service recognizes audio from publicly accessible URLs only. It does not support audio in Base64 encoding, binary streams, or local files.

Q: How do I provide an audio file as a publicly accessible URL? ​

You can typically follow these steps. This is a general guide, and the specific steps may vary for different storage products. We recommend that you upload the audio to Object Storage Service (OSS).

1. Choose a storage and hosting method

Examples include the following:

  • Object Storage Service (Recommended):

    • Use a cloud provider's object storage service, such as OSS. Upload the audio file to a bucket and set its access permissions to public.

    • Advantages: High availability, CDN acceleration support, and easy management.

  • Web server:

    • Place the audio file on a web server that supports HTTP/HTTPS access, such as Nginx or Apache.

    • Advantages: Suitable for small projects or local testing.

  • Content Delivery Network (CDN):

    • Host the audio file on a CDN and access it through the URL provided by the CDN.

    • Advantages: Accelerates file transfer, suitable for high-concurrency scenarios.

2. Upload the audio file

Upload the audio file based on your chosen storage/hosting method. For example:

  • Object Storage Service:

    • Log on to the cloud provider's console and create a bucket.

    • Upload the audio file and set its permissions to "public-read" or generate a temporary access link.

  • Web server:

    • Place the audio file in a specified directory on the server, such as /var/www/html/audio/.

    • Ensure the file is accessible via HTTP/HTTPS.

3. Generate a publicly accessible URL

For example:

  • Object Storage Service:

    • After uploading the file, the system automatically generates a public access URL, typically in the format https://<bucket-name>.<region>.aliyuncs.com/<file-name>.

    • For a more user-friendly domain name, you can attach a custom domain name and enable HTTPS.

  • Web server:
    • The access URL for the file is usually the server address plus the file path, such as https://your-domain.com/audio/file.mp3.
  • CDN:
    • After configuring CDN acceleration, use the URL provided by the CDN, such as https://cdn.your-domain.com/audio/file.mp3.

4. Verify the URL's availability

In a public network environment, ensure that the generated URL is accessible. For example:

  • Open the URL in a browser to check if the audio file can be played.

  • Use a tool, such as curl or Postman, to verify that the URL returns a correct HTTP response (status code 200).

When using the SDK to access a file stored in OSS, you cannot use a temporary URL with the oss:// prefix.

When using the RESTful API to access a file stored in OSS, you can use a temporary URL with the oss:// prefix:

Important

  • The temporary URL is valid for 48 hours and cannot be used after it expires. Do not use it in a production environment.

  • The API for obtaining an upload credential is limited to 100 QPS and does not support scaling out. Do not use it in production environments, high-concurrency scenarios, or stress testing scenarios.

  • For production environments, use a stable storage service such as OSS to ensure long-term file availability and avoid rate limiting issues.

Q: How long does it take to get the recognition result? ​

Tasks enter the PENDING state after submission. Queuing time (typically a few minutes) varies with the queue length and file duration. The longer the audio file, the longer the processing time.

Troubleshooting ​

If a code error occurs, troubleshoot the issue based on the information in Error codes.

Q: Why can't I get a result after continuous polling? ​

This may be because of rate limiting.

Q: Why is the audio not recognized (no recognition result)? ​

Check whether the audio format and sample rate are correct and meet the parameter constraints.

You can use the ffprobe tool to retrieve information about the audio container, codec, sample rate, and channels:

bash
ffprobe -v error -show_entries format=format_name -show_entries stream=codec_name,sample_rate,channels -of default=noprint_wrappers=1 input.xxx

Previous: Python SDKNext: Audio file recognition (Qwen-ASR)

Is this page helpful?

Prerequisites

Getting started

Asynchronous submission + synchronous wait

Asynchronous submission + asynchronous query

Request parameters

Response

Task execution result (TranscriptionResult)

Subtask execution result (TranscriptionTaskResult)

Recognition result description

Key interfaces

Task query parameter class (TranscriptionQueryParam)

Core class (Transcription)

Error codes

FAQ

Features

Troubleshooting

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