README.md 1.5 KB
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# DeepSpeech on PaddlePaddle
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[中文版](README_cn.md)

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*DeepSpeech on PaddlePaddle* is an open-source implementation of end-to-end Automatic Speech Recognition (ASR) engine, with [PaddlePaddle](https://github.com/PaddlePaddle/Paddle) 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.
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For more information, please see below:
[Install](docs/install.md)
[Getting Started](docs/geting_stared.md)
[Data Prepration](docs/data_preparation.md)
[Data Augmentation](docs/augmentation.md)
[Ngram LM](docs/ngram_lm.md)
[Server Demo](docs/server.md)
[Benchmark](docs/benchmark.md)
[Relased Model](docs/released_model.md)
[FAQ](docs/faq.md)

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## Models
* [Baidu's Deep Speech2](http://proceedings.mlr.press/v48/amodei16.pdf)
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## Setup
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* python 3.7
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* paddlepaddle 2.0.0
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- Run the setup script for the remaining dependencies

```bash
git clone https://github.com/PaddlePaddle/DeepSpeech.git
cd DeepSpeech
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pushd tools; make; popd
source tools/venv/bin/activate
bash setup.sh
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```
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- Source venv before do experiment.
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```bash
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source tools/venv/bin/activate
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```

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## Getting Started
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Please see [Getting Started](docs/geting_started.md) and [tiny egs](examples/tiny/README.md).
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## Questions and Help
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You are welcome to submit questions and bug reports in [Github Issues](https://github.com/PaddlePaddle/DeepSpeech/issues). You are also welcome to contribute to this project.