https://github.com/amir22010/wav2letter
Facebook AI Research Automatic Speech Recognition Toolkit
Science Score: 10.0%
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Low similarity (12.2%) to scientific vocabulary
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Facebook AI Research Automatic Speech Recognition Toolkit
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Fork of flashlight/wav2letter
Created about 7 years ago
· Last pushed about 7 years ago
https://github.com/Amir22010/wav2letter/blob/master/
# wav2letter++
wav2letter++ is a fast open source speech processing toolkit from the Speech Team at Facebook AI Research.
It is written entirely in C++ and uses the [ArrayFire](https://github.com/arrayfire/arrayfire) tensor library and the [flashlight](https://github.com/facebookresearch/flashlight) machine learning library for maximum efficiency.
Our approach is detailed in this [arXiv paper](https://arxiv.org/abs/1812.07625).
The goal of this software is to facilitate research in end-to-end models for speech recognition.
The previous version of wav2letter (written in Lua) can be found in the "wav2letter-lua" branch under the repository.
## Building wav2letter++
See [Building Instructions](docs/installation.md) for details.
## Full documentation
- [Data Preparation](docs/data_prep.md)
- [Training](docs/train.md)
- [Testing / Decoding](docs/decoder.md)
To get started with wav2letter++, checkout the [tutorials](tutorials) section.
We also provide complete recipes for WSJ, Timit and Librispeech and they can be found in [recipes](recipes) folder.
## Citation
If you use the code in your paper, then please cite it as:
```
@article{pratap2018w2l,
author = {Vineel Pratap, Awni Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert},
title = {wav2letter++: The Fastest Open-source Speech Recognition System},
journal = {CoRR},
volume = {abs/1812.07625},
year = {2018},
url = {https://arxiv.org/abs/1812.07625},
}
```
## Join the wav2letter community
* Facebook page: https://www.facebook.com/groups/717232008481207/
* Google group: https://groups.google.com/forum/#!forum/wav2letter-users
* Contact: vineelkpratap@fb.com, awni@fb.com, qiantong@fb.com, jcai@fb.com, jacobkahn@fb.com, gab@fb.com, vitaliy888@fb.com, locronan@fb.com
See the [CONTRIBUTING](CONTRIBUTING.md) file for how to help out.
## License
wav2letter++ is BSD-licensed, as found in the [LICENSE](LICENSE) file.
Owner
- Name: Amir Khan
- Login: Amir22010
- Kind: user
- Location: India
- Repositories: 3
- Profile: https://github.com/Amir22010
working on developing a state of art AI solutions mainly in computer vision, chat bots and nlp domain. building an awesome AI as a professional developer 😍.