end2end-asr-pytorch:PyTorch上的端到端自动语音识别-源码

上传者: 42102272 | 上传时间: 2021-09-05 18:50:50 | 文件大小: 106KB | 文件类型: ZIP
Pytorch 上的端到端语音识别 基于 Transformer 的语音识别模型 如果您在工作中使用了本工具包中包含的任何源代码,请引用以下论文。 Winata,GI,Madotto,A.,Wu,CS,&Fung,P.(2019年)。 使用来自并行句子的基于神经的合成数据的代码切换语言模型。 在第23届计算自然语言学习会议(CoNLL)的会议记录中(第271-280页)。 Winata, GI, Cahyawijaya, S., Lin, Z., Liu, Z., & Fung, P. (2019)。 使用 Low-Rank Transformer 的轻量级和高效的端到端语音识别。 arXiv 预印本 arXiv:1910.13923。 (被ICASSP 2020接受) Zhou, S., Dong, L., Xu, S., & Xu, B. (2018)。 使用 Transfor

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