#158 · Primary category: Speech & Audio

athena

asr ctc deployment sequence-to-sequence speaker-recognition speech-recognition speech-synthesis tensorflow transformer tts unsupervised-learning wfst

an open-source implementation of sequence-to-sequence based speech processing engine

Project last updated:12/02/22

GitHub Stars

966

Forks

197

Contributors

37

License

Apache-2.0

Why we included this project

Athena is a solid pick when your speech work runs inside TensorFlow and you want more than a single demo model. It covers the full pipeline: hybrid attention/CTC recognition with streaming support, text-to-speech through FastSpeech and FastSpeech2 (Tacotron2 and HiFi-GAN vocoding also show up in the repo), voice activity detection, and keyword spotting. Recipes with published result tables on AISHELL-1, LibriSpeech, GigaSpeech, and LJSpeech make it easy to reproduce solid baselines before adapting them to your own data. On the production side, the C++ runtime provides WFST decoding and a TensorFlow C++ local server for serving trained models, while the Kaldi-free Python feature extractor spares teams who never picked up the Kaldi toolchain.

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