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PaddleSpeech/docs/source/reference.md

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# Reference
We borrowed a lot of code from these repos to build `model` and `engine`, thank for these great work:
* [espnet](https://github.com/espnet/espnet/blob/master/LICENSE)
- Apache-2.0 License
- python/shell `utils`
- kaldi feat preprocessing
- datapipeline and `transform`
- a lot of tts model, like `fastspeech2` and GAN-based `vocoder`
* [wenet](https://github.com/wenet-e2e/wenet/blob/main/LICENSE)
- Apache-2.0 License
- U2 model
- Building TLG based Graph
* [kaldi](https://github.com/kaldi-asr/kaldi/blob/master/COPYING)
- Apache-2.0 License
- shell/perl/python utils.
- feature bins.
- WFST based decoding for LM integration.
* [delta](https://github.com/Delta-ML/delta/blob/master/LICENSE)
- Apache-2.0 License
- `engine` arch
* [speechbrain](https://github.com/speechbrain/speechbrain/blob/develop/LICENSE)
- Apache-2.0 License
- ECAPA-TDNN SV model
* [chainer](https://github.com/chainer/chainer/blob/master/LICENSE)
- MIT License
- Updater, Trainer and more utils.