- 授权协议: BSD
- 开发语言: Lua
- 操作系统: 跨平台
- 软件首页: https://github.com/facebookresearch/wav2letter
- 软件文档: https://github.com/facebookresearch/wav2letter
- 官方下载: https://github.com/facebookresearch/wav2letter
软件介绍
wav2letter 是 Facebook AI 研究院开源的一款简单高效的端到端自动语音识别（ASR）系统，实现的是论文 Wav2Letter: an End-to-End ConvNet-based Speech Recognition System 和及 Letter-Based Speech Recognition with Gated ConvNets 中提出的架构。
Papers
@article{collobert:2016,
author = {Ronan Collobert and Christian Puhrsch and Gabriel Synnaeve},
title = {Wav2Letter: an End-to-End ConvNet-based Speech Recognition System},
journal = {CoRR},
volume = {abs/1609.03193},
year = {2016},
url = {http://arxiv.org/abs/1609.03193},
}和
@article{liptchinsky:2017,
author = {Vitaliy Liptchinsky and Gabriel Synnaeve and Ronan Collobert},
title = {Letter-Based Speech Recognition with Gated ConvNets},
journal = {CoRR},
volume = {abs/1712.09444},
year = {2017},
url = {http://arxiv.org/abs/1712.09444},
}如果你使用 wav2letter 或相关的预训练模型，需引用其中的一篇论文。
