Azure Speech service transcription running forver

Ulhas Hulyal, Nilesh 35 Reputation points
2025-06-23T16:17:13.7233333+00:00

We've been using Azure Speech Service with a managed identity for batch audio transcriptions. The service performed flawlessly until June 20th. However, as of June 23rd, our batch transcription jobs are stuck in a 'running' state indefinitely and are not generating any output.

Have attached a screenshot from the Azure Speech portal for reference.

User's image

We also tried to use Azure batch transcription service in another speech resource for which managed identity is not enabled in those resource below 3 audio transcription worked quickly as expected.
Any insights into why our speech resource suddenly stopped working would be greatly appreciated.

Azure AI Speech
Azure AI Speech
An Azure service that integrates speech processing into apps and services.
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  1. Jerald Felix 2,180 Reputation points
    2025-06-23T16:38:43.2233333+00:00

    Hello Ulhas Hulyal, Nilesh,

    If your Azure Speech Service batch transcription job is stuck in the "Running" state indefinitely especially when using a custom model there are a few key areas to check. First, ensure that your custom model is properly deployed and in a “Ready” state in Speech Studio; if it’s not fully deployed, the job may silently hang.

    Also, confirm that both the transcription job and the custom model are in the same Azure region, as region mismatches can cause indefinite queuing. Validate that your input audio file is in a supported format (like WAV or MP3), with a proper sample rate (8 kHz or 16 kHz), and not corrupted.

    There have also been transient issues where simply retrying the transcription job after some time resolved the problem.

    1. Please switch other available regions supported by Azure Speech resource.
    2. Please check if your Batch subscription quota is exhausted or not.
    3. Use other model version in Batch Transcription

    If none of these step's work, it’s best to submit an Azure support ticket with details like the job ID, model ID, and timestamps so the backend team can investigate further.

    Best Regards,

    Jerald Felix

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