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MEAD Audio

Project description

audio8

API examples using 8-mile for audio

Implementation

The codebase relies primarily on 8-mile (mead-layers) for its modeling and optimization code. Whats left is pretty much just training and inference code

Dependencies

The code depends on:

  • editdistance (for error evaluation)
  • numpy
  • six
  • soundfile
  • mead-baseline
  • pytorch

There are a few optional dependencies

  • scipy (for on-the-fly resampling of wav files)
  • ctcdecode (for prefix beam decoding with optional LM)

Project details


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