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Easy-to-use Speech Toolkit including SOTA/Streaming ASR with punctuation, influential TTS with text frontend, Speaker Verification System and End-to-End Speech Simultaneous Translation.
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README.md
Escape

DeepSpeech on PaddlePaddle

中文版

DeepSpeech on PaddlePaddle is an open-source implementation of end-to-end Automatic Speech Recognition (ASR) engine, with PaddlePaddle platform. Our vision is to empower both industrial application and academic research on speech recognition, via an easy-to-use, efficient and scalable implementation, including training, inference & testing module, and demo deployment.

For more information, please see below： Install Getting Started Data Prepration Data Augmentation Ngram LM Server Demo Benchmark Relased Model FAQ

Models

Setup

  • python 3.7
  • paddlepaddle 2.0.0
  • Run the setup script for the remaining dependencies
git clone https://github.com/PaddlePaddle/DeepSpeech.git
cd DeepSpeech
pushd tools; make; popd
source tools/venv/bin/activate
bash setup.sh
  • Source venv before do experiment.
source tools/venv/bin/activate

Getting Started

Please see Getting Started and tiny egs.

Questions and Help

You are welcome to submit questions and bug reports in Github Issues. You are also welcome to contribute to this project.