# PaddlePaddle Speech toolkit ![License](https://img.shields.io/badge/license-Apache%202-red.svg) ![python version](https://img.shields.io/badge/python-3.7+-orange.svg) ![support os](https://img.shields.io/badge/os-linux-yellow.svg) *DeepSpeech* is an open-source implementation of end-to-end Automatic Speech Recognition 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, samller and scalable implementation, including training, inference & testing module, and deployment. ## Features See [feature list](docs/source/asr/feature_list.md) for more information. ## Setup All tested under: * Ubuntu 16.04 * python>=3.7 * paddlepaddle==2.1.2 Please see [install](docs/source/asr/install.md). ## Getting Started Please see [Getting Started](docs/source/asr/getting_started.md) and [tiny egs](examples/tiny/s0/README.md). ## More Information * [Data Prepration](docs/source/asr/data_preparation.md) * [Data Augmentation](docs/source/asr/augmentation.md) * [Ngram LM](docs/source/asr/ngram_lm.md) * [Benchmark](docs/source/asr/benchmark.md) * [Relased Model](docs/source/asr/released_model.md) ## Questions and Help You are welcome to submit questions in [Github Discussions](https://github.com/PaddlePaddle/DeepSpeech/discussions) and bug reports in [Github Issues](https://github.com/PaddlePaddle/DeepSpeech/issues). You are also welcome to contribute to this project. ## License DeepSpeech is provided under the [Apache-2.0 License](./LICENSE). ## Acknowledgement We depends on many open source repos. See [References](docs/source/asr/reference.md) for more information.