dla:音频处理的深度学习-源码
音频深度学习（DLA）
每周的讲座和研讨会资料位于./week*文件夹中，有关资料和说明，请参阅README.md。
任何技术问题，想法，课程资料中的错误，贡献想法-添加问题
该课程的当前版本于2020年秋季在的进行
教学大纲
数字信号处理简介
讲座：信号，傅立叶变换，频谱图，MFCC等
研讨会：PyTorch简介，DevOps，深度学习研发
自动语音识别I
讲座：指标，注意力，LAS，CTC，BeamSearch
研讨会：Docker，W＆B，音频增强
自动语音识别II
演讲：LM融合，RNN传感器，进度表采样，BPE
研讨会：Jasper，QurtzNet，混合精度培训，DDP / DP
关键字（KWS）和语音活动检测（VAD）
演讲：（DNN，CNN，RNN + Attention）基于KWS，SVDF，正交正则化和其他技巧
研讨会：加速神经网络：张量分解，量化，修剪
文件下载
资源详情
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