Azure Custom Speech Service: Empowering Batch Transcription for Audio Data Handling

Azure Custom Speech Service

Azure Custom Speech Service: Empowering Batch Transcription for Audio Data Handling

Understanding Batch Transcription

Batch transcription is a process that allows for the transcription of a large volume of audio data stored in Azure. This functionality is supported by both the Speech to text REST API and Speech CLI, enabling efficient handling of numerous audio files for transcription purposes.

Functionality of Batch Transcription

Batch transcription operates by either submitting multiple files in a single request or referencing an Azure Blob Storage container that contains the audio files to be transcribed. The service is designed to manage a significant volume of transcription requests concurrently, leading to faster processing times and reduced turnaround times for transcription tasks.

Workflow of Batch Transcription

When utilizing batch transcriptions, users first submit the audio data for transcription, after which they can retrieve the transcription results asynchronously. The service processes the audio data, generates transcriptions, and stores the results in a designated storage container. Users can then access and retrieve the transcriptions from this storage location.

Utilizing the Batch Transcription REST API

To leverage the batch transcription REST API effectively, users need to follow a structured process: locating the audio files for transcription, creating a batch transcription job with specified parameters such as language and model selection, and finally retrieving the transcription results once the process is completed. This API ensures efficient handling of batch transcription tasks and streamlines the overall workflow.

Enhancing Workflow with Low or No-Code Solutions

For users seeking a simplified approach to batch transcription, the Batch Speech to text Connector within Power Platform applications like Power Automate, Power Apps, and Logic Apps offers a convenient solution. By utilizing these tools, users can automate and streamline batch transcription processes, enhancing efficiency and ease of use.

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