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Spoken word recognition using CTC LSTMs for SWR2 Tübingen

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CTC LSTM

spoken word recognition using CTC LSTMs

Instructions

  • Create a virtual environment: python -m venv venv
  • Install the required packages: ./venv/bin/pip install -r requirements.txt
  • Train the model: ./venv/bin/python main.py train (takes a few hours and needs around 20GB disk and 5GB memory)
    • or download my pre-trained model (25 epochs, not good) from here and move it to target/model-final.ckpt
  • Test the final model: ./venv/bin/python main.py test
  • Infer text from flac: ./venv/bin/python main.py infer audio.flac

Note

  • This is a proof-of-concept
  • Does not use CUDA but should be easy to implement

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Spoken word recognition using CTC LSTMs for SWR2 Tübingen

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