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This will hold the data pipeline to convert raw audio data to speech which will act as input dataset for speech-to-text pipeline

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Open-Speech-EkStep/audio-to-speech-pipeline

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Intelligent Data Pipeline

It is a part of Vakyansh's recipes to build state of the art Speech Recogniition Model

Pipelines to transform raw data and prepare data for model training. They clean, process and balance data for model training

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Contributor Covenant License: MIT Python 3.8

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Key Highlights

  • Automated: Vakyansh's pipelines are fully automated and no human intervention is required to process the audio pipelines. It uses pre trained models to identify language, gender and speakers in the audio.
  • Scalable: Process thousands of hours of data in 2-3 days leveraging K8s capabilities. Allows faster time to market.
  • Versatile: Vakyansh's pipelines can run on any VM's or Kubernetes cluster on any cloud. For scalability it is recommended to run on Kubernetes
  • Quality: Vakyansh lays strong emphasis on code quality and high test coverage to ensure its seamless use and continued maintenance.

Documentation

Please follow the documentation for Intelligent Data Pipeline here

You can improve it by sending pull requests to the documentation repository.

License

MIT License

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This will hold the data pipeline to convert raw audio data to speech which will act as input dataset for speech-to-text pipeline

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