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AWS Transcribe InvalidMaxSpeakerLabels error encountered during transcription.

The specified maximum number of speaker labels exceeds the supported range.

Understanding AWS Transcribe

AWS Transcribe is a powerful tool provided by Amazon Web Services that converts audio files into text. It is widely used in applications that require speech-to-text capabilities, such as transcription services, voice analytics, and more. AWS Transcribe supports multiple languages and offers features like speaker identification, punctuation, and formatting.

Identifying the Symptom

When using AWS Transcribe, you might encounter the InvalidMaxSpeakerLabels error. This error typically occurs when you attempt to transcribe audio with speaker identification, but the specified number of speaker labels is not within the acceptable range.

What You Observe

During the transcription process, the application may fail to execute the transcription job, and you will receive an error message indicating InvalidMaxSpeakerLabels. This prevents the transcription from completing successfully.

Exploring the Issue

The InvalidMaxSpeakerLabels error is triggered when the maximum number of speaker labels specified in the transcription job request is invalid. AWS Transcribe has a predefined range for the number of speaker labels it can handle, and exceeding this range results in an error.

Understanding the Error Code

The error code InvalidMaxSpeakerLabels indicates that the value provided for the maximum number of speaker labels is either too high or too low. This parameter is crucial for applications that require distinguishing between different speakers in an audio file.

Steps to Resolve the Issue

To resolve the InvalidMaxSpeakerLabels error, follow these steps:

Step 1: Verify the Supported Range

Check the AWS Transcribe documentation to determine the supported range for speaker labels. As of the latest update, AWS Transcribe supports a maximum of 10 speaker labels. Ensure your request does not exceed this limit. Refer to the official AWS Transcribe Documentation for the most current information.

Step 2: Adjust Your Request

Modify your transcription job request to specify a valid number of speaker labels. For example, if you initially set the maximum number of speaker labels to 15, reduce it to a number within the supported range, such as 5 or 10.

{
"TranscriptionJobName": "YourJobName",
"LanguageCode": "en-US",
"MediaFormat": "mp3",
"Media": {
"MediaFileUri": "s3://your-bucket/your-audio-file.mp3"
},
"Settings": {
"ShowSpeakerLabels": true,
"MaxSpeakerLabels": 5
}
}

Step 3: Resubmit the Transcription Job

After adjusting the speaker labels, resubmit your transcription job. Monitor the job status to ensure it completes successfully without encountering the InvalidMaxSpeakerLabels error.

Conclusion

By ensuring the number of speaker labels is within the supported range, you can effectively resolve the InvalidMaxSpeakerLabels error in AWS Transcribe. This allows your application to accurately transcribe audio files with speaker identification. For further assistance, consider visiting the AWS Support Center.

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