athena-team/athena
Open-source TensorFlow-based speech processing engine implementing sequence-to-sequence models for automatic speech recognition and text-to-speech synthesis.
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Athena provides end-to-end speech processing capabilities including automatic speech recognition (ASR) with hybrid attention/CTC methods, text-to-speech synthesis via FastSpeech/Transformer models, voice activity detection, and key word spotting. Built in TensorFlow >= 2.0.1, it supports multi-GPU distributed training with Horovod, includes a Kaldi-free Python feature extractor, and offers C++ runtime decoding with WFST-based decoding for deployment. The project provides recipes and examples on open-source datasets for various speech tasks.
Frequently asked
- What is athena-team/athena?
- Open-source TensorFlow-based speech processing engine implementing sequence-to-sequence models for automatic speech recognition and text-to-speech synthesis.
- Is athena open source?
- Yes — athena-team/athena is open source, released under the Apache-2.0 license.
- What language is athena written in?
- athena-team/athena is primarily written in C++.
- How popular is athena?
- athena-team/athena has 969 stars on GitHub.
- Where can I find athena?
- athena-team/athena is on GitHub at https://github.com/athena-team/athena.