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Power Platform Community / Forums / Power Automate / Microsoft Cognitive Se...
Power Automate
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Microsoft Cognitive Services Speech to Text Transcription Failed

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Posted on by 2

Hi Everyone,

I'm encountering difficulties with a transcription job using the Microsoft Cognitive Services Speech to Text API by creating a flow in power automate, and I'm reaching out to the community for assistance in resolving this issue. Any insights, suggestions, or troubleshooting steps are greatly appreciated. Here are the details:

Problem: The transcription job initially starts but eventually fails, transitioning from the "Running" status to "Failed". The error message received is as follows:

 

"error": {
            "code": "InvalidUri",
            "message": "Authentication failed for recordings URI."
        },

 

Details provided in the Body of the request:

{

"contentUrls": [ "Share point URL" ],

"displayName": "Transcription",

"locale": "ar-SA",

"properties": {

"diarizationEnabled": false,

"displayFormWordLevelTimestampsEnabled": false,

"punctuationMode": "DictatedAndAutomatic",

"wordLevelTimestampsEnabled": false }

}

Steps Taken:

  • Verified the subscription key for the speech service.
  • Confirmed accessibility and validity of the recordings URI containing the audio files.
  • Verified the roles in the azure speech service for my user.
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I have the same question (0)
  • televisi Profile Picture
    67 on at
    Looking at the documentation, if the audio file stored outside Azure, it should be directly accessible (URI that requires authentication, such as SharePoint is not supported: https://learn.microsoft.com/en-au/azure/ai-services/speech-service/batch-transcription-audio-data?tabs=portal)

    When source audio files are stored outside of Azure, they can be accessed via a public URI (such as "https://crbn.us/hello.wav"). Files should be directly accessible; URIs that require authentication or that invoke interactive scripts before the file can be accessed aren't supported.
    ========================
    The suggested approach by Microsoft is to use Azure Blob Storage (this) to store the audio file.

    Also, check out the article Ms provided (here) that shows how to use it using "Transcribe audio files to text from Azure Blob" PowerAutomate template).

    Hope this helps!

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