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https://github.com/flashlight/wav2letter
Facebook AI Research's Automatic Speech Recognition Toolkit
https://github.com/flashlight/wav2letter
cpp deep-learning end-to-end speech-recognition wav2letter
Last synced: 24 days ago
JSON representation
Facebook AI Research's Automatic Speech Recognition Toolkit
- Host: GitHub
- URL: https://github.com/flashlight/wav2letter
- Owner: flashlight
- License: other
- Created: 2017-11-20T17:39:41.000Z (almost 7 years ago)
- Default Branch: main
- Last Pushed: 2024-08-07T18:01:52.000Z (3 months ago)
- Last Synced: 2024-08-12T21:27:08.321Z (3 months ago)
- Topics: cpp, deep-learning, end-to-end, speech-recognition, wav2letter
- Language: C++
- Homepage: https://github.com/facebookresearch/wav2letter/wiki
- Size: 6.2 MB
- Stars: 6,356
- Watchers: 246
- Forks: 1,014
- Open Issues: 107
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
- awesome-coding-by-voice - wav2letter++ - Facebook AI Research's Automatic Speech Recognition Toolkit
- awesome-list - wav2letter++ - Facebook AI Research's Automatic Speech Recognition Toolkit. (Natural Language Processing / Speech & Audio)
README
# wav2letter++
[](https://app.circleci.com/pipelines/github/flashlight/wav2letter)
[](https://gitter.im/wav2letter/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
## Important Note:
### wav2letter has been moved and consolidated [into Flashlight](https://github.com/flashlight/flashlight) in the [ASR application](https://github.com/flashlight/flashlight/tree/master/flashlight/app/asr).
Future wav2letter development will occur in Flashlight.
*To build the old, pre-consolidation version of wav2letter*, checkout the [wav2letter v0.2](https://github.com/flashlight/wav2letter/releases/tag/v0.2) release, which depends on the old [Flashlight v0.2](https://github.com/flashlight/flashlight/releases/tag/v0.2) release. The [`wav2letter-lua`](https://github.com/flashlight/wav2letter/tree/wav2letter-lua) project can be found on the [`wav2letter-lua` branch](https://github.com/flashlight/wav2letter/tree/wav2letter-lua), accordingly.
For more information on wav2letter++, see or cite [this arXiv paper](https://arxiv.org/abs/1812.07625).
## Recipes
This repository includes recipes to reproduce the following research papers as well as *pre-trained* models. **All results reproduction must use Flashlight <= 0.3.2** for exact reproducability. Papers contained here include:
- [Pratap et al. (2020): Scaling Online Speech Recognition Using ConvNets](recipes/streaming_convnets/)
- [Synnaeve et al. (2020): End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures](recipes/sota/2019)
- [Kahn et al. (2020): Self-Training for End-to-End Speech Recognition](recipes/self_training)
- [Likhomanenko et al. (2019): Who Needs Words? Lexicon-free Speech Recognition](recipes/lexicon_free/)
- [Hannun et al. (2019): Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions](recipes/seq2seq_tds/)
Data preparation for training and evaluation can be found in [data](data) directory.
### Building the Recipes
First, install [Flashlight](https://github.com/flashlight/flashlight/tree/0.3) **(using the [0.3 branch](https://github.com/flashlight/flashlight/tree/0.3) is required)** with the [ASR application](https://github.com/flashlight/flashlight/tree/master/flashlight/app/asr).
```shell
mkdir build && cd build
cmake .. && make -j8
```
If Flashlight or ArrayFire are installed in nonstandard paths via a custom `CMAKE_INSTALL_PREFIX`, they can be found by passing
```shell
-Dflashlight_DIR=[PREFIX]/usr/share/flashlight/cmake/ -DArrayFire_DIR=[PREFIX]/usr/share/ArrayFire/cmake
```
when running `cmake`.
## Join the wav2letter community
* Facebook page: https://www.facebook.com/groups/717232008481207/
* Google group: https://groups.google.com/forum/#!forum/wav2letter-users
* Contact: [email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected]
## License
wav2letter++ is MIT-licensed, as found in the [LICENSE](LICENSE) file.