DeepSpeech on PaddlePaddle
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.
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.
More Information
- Install
- Getting Started
- Data Prepration
- Data Augmentation
- Ngram LM
- Server Demo
- Benchmark
- Relased Model
- FAQ
Questions and Help
You are welcome to submit questions and bug reports in Github Issues. You are also welcome to contribute to this project.