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dereverberation-and-denoising-master

于 2017-12-06 发布文件大小:2178KB

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下载积分: 1 下载次数: 44

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代码说明：

语音去混响与去噪，使用matlab实现，可直接使用(dereverberation and denoise)

文件列表：

dereverberation-and-denoising-master
dereverberation-and-denoising-master\NMDwithReverb.m, 8288, 2017-08-04
dereverberation-and-denoising-master\NMDwithReverb.m~, 7785, 2017-08-04
dereverberation-and-denoising-master\NMDwithReverb_slow.m, 9023, 2017-08-04
dereverberation-and-denoising-master\NMFwithReverb.m, 6632, 2017-08-04
dereverberation-and-denoising-master\README, 1075, 2017-08-04
dereverberation-and-denoising-master\examples
dereverberation-and-denoising-master\examples\clean1.wav, 244278, 2017-08-04
dereverberation-and-denoising-master\examples\enhanced1_9dB_NMD%2BR.wav, 244044, 2017-08-04
dereverberation-and-denoising-master\examples\enhanced1_9dB_NMD.wav, 244044, 2017-08-04
dereverberation-and-denoising-master\examples\enhanced1_9dB_NMF%2BR.wav, 244044, 2017-08-04
dereverberation-and-denoising-master\examples\enhanced1_9dB_NMF.wav, 244044, 2017-08-04
dereverberation-and-denoising-master\examples\enhanced1_noisefree_NMD%2BR.wav, 244044, 2017-08-04
dereverberation-and-denoising-master\examples\enhanced1_noisefree_NMD.wav, 244044, 2017-08-04
dereverberation-and-denoising-master\examples\enhanced1_noisefree_NMF%2BR.wav, 244044, 2017-08-04
dereverberation-and-denoising-master\examples\enhanced1_noisefree_NMF.wav, 244044, 2017-08-04
dereverberation-and-denoising-master\examples\noisefree%2Breverb.wav, 244278, 2017-08-04
dereverberation-and-denoising-master\examples\noisy1_9dB.wav, 244278, 2017-08-04
dereverberation-and-denoising-master\stackfeat.m, 337, 2017-08-04

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这是我的adsp的project 维纳滤波在语音增强上的应用，是基于维纳滤波的语音增强的matlab实现，其中包括matlab源码，word文档，以及PPT。并设计了简单的 GUI 对语音信号进行加噪处理，然后再其进行维纳滤波。通过gui可以实时改变加入噪声的参数和维纳滤波器的参数，进行分析。并有频谱显示和语谱对比显示。(This is my project adsp the Wiener filter applied on speech enhancement is based on the Wiener filter speech enhancement matlab implementation, including matlab source code, word documents, and PPT. And designed a simple GUI for adding noise speech signal processing, then it Wiener filtering. You can join the real-time changes in the parameters and noise parameters Wiener filter through gui, for analysis. And a spectrum display and spectral contrast display language.)

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