yongxuUSTC / sednn

deep learning based speech enhancement using keras or pytorch, make it easy to use
http://staff.ustc.edu.cn/~jundu/The%20team/yongxu/demo/SE_DNN_taslp.html
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你好,请问噪声感知训练部分怎么没有了 #51

Open qq274943639 opened 4 years ago

qiuqiangkong commented 4 years ago

Hi, which part are you referring?


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qq274943639 commented 4 years ago

就是在提取特征的时候没有看到有噪声感知训练部分的加进去,不过我看了前面的回复知道了是在带噪语音每一个切片的7帧后面加1帧噪声了谢谢,不过我还有个小问题就是你们用的特征是语音的sft变换实现语音到时频单元的转变,最后一个维度即幅度分量是257,你们为什么不考虑把信号出入伽马通(Gammatone)听觉滤波器来做特征呢?这样只有64个频率分量,我服务器的内存比较小跑的时候经常内存不足,换成这个会不会好点?