Facebook开源语音识别工具包wav2letter_最新动态_新闻资讯_程序员俱乐部

　　Facebook AI 研究院近日开源了一款简单高效的端到端自动语音识别（ASR）系统 wav2letter，wav2letter 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。 

　　另外，如果想要立刻进行语音转录的，Facebook 还提供了 Librispeech 数据集上预训练模型。