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Keras DeepSpeech

Build Status

Repository for experimenting with different CTC based model designs for ASR. Supports live recording and testing of speech and quickly creates customised datasets using own-voice dataset creation scripts!

OVERVIEW

SETUP

  1. Recommended > use virtualenv installed with python2.7 (3.x untested and will not work with Core ML)
  2. git clone https://github.com/mlrobsmt/KerasDeepSpeech
  3. pip install -r requirements.txt
  4. Get the data using the import/download scripts in the data folder, LibriSpeech is a good example.
  5. Download the language model (large file) run ./lm/get_lm.sh

RUN

  1. To Train, simply run python run-train.py In order to specify training/validation files use python run-train.py --train_files <csvfile> --valid_files <csvfile> (see run-train for complete arguments list)
  2. To Test, run python run-test.py --test_files <datacsvfile>

CREDIT

  1. Mozilla DeepSpeech
  2. Baidu DS1 & DS2 papers

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