文件名称:KSVD-of-speech-enhancemant

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  • 编程文档
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2014-05-26
  • 文件大小:
  • 11.01mb
  • 下载次数:
  • 1次
  • 提 供 者:
  • 杨**
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基于字典学习的语音增强中字典更新的算法,称作近似K-SVD算法,其中包含了OMP算法用于稀疏编码计算系数矩阵-Dictionary-based learning dictionary speech enhancement algorithm update, called approximate K-SVD algorithm, which contains the sparse coding algorithm is used to calculate the coefficient matrix OMP
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下载文件列表





KSVD of speech enhancemant\adjust_snr.m

..........................\apply_filter.p

..........................\apply_filters.p

..........................\apply_VAD.p

..........................\batch_pesq.p

..........................\batch_pesq2.p

..........................\buffer.m

..........................\center.m

..........................\composite.asv

..........................\composite.m

..........................\Contents.m

..........................\convolution_in_timealign.p

..........................\crude_align.p

..........................\Dbabble512.mat

..........................\Dbabble51216k.mat

..........................\Dcar512.mat

..........................\DC_block.p

..........................\dictdist.m

..........................\Dksvdspeechnoizeus.mat

..........................\DksvdspeechTIMIT.mat

..........................\DksvdspeechTIMIT16k.mat

..........................\Dstation512.mat

..........................\Dtrain512.mat

..........................\Dvolvo51216k.mat

..........................\Dwhite102416k.mat

..........................\Dwhite16k.mat

..........................\Dwhite512.mat

..........................\enhanced_logmmse.wav

..........................\faq.txt

..........................\FFTNXCorr.p

..........................\fix_power_level.p

..........................\id_searchwindows.p

..........................\id_utterances.p

..........................\.mages\barbara.png

..........................\......\boat.png

..........................\......\house.png

..........................\......\lena.png

..........................\......\peppers.png

..........................\......\Thumbs.db

..........................\input_filter.p

..........................\KSVD-OMP-v2(ompv10-ksvdv13).pdf

..........................\ksvd.m

..........................\ksvddemo.m

..........................\ksvddenoise.m

..........................\ksvddenoisedemo.m

..........................\ksvdver.m

..........................\mat_debug.txt

..........................\normalize.m

..........................\obj_measures_intelligibility.pdf

..........................\obj_paper_jan08.pdf

..........................\odct2dict.m

..........................\odct3dict.m

..........................\odctdict.m

..........................\odctndict.m

..........................\OMP.m

..........................\ompdenoise.m

..........................\ompdenoise1.m

..........................\ompdenoise2.m

..........................\ompdenoise3.m

..........................\OMPzyp.asv

..........................\out.wav

..........................\pesq.p

..........................\pesq_debug.p

..........................\pesq_measure.p

..........................\pesq_psychoacoustic_model.p

..........................\pesq_testbench.p

..........................\plot_wav.p

..........................\pow_of.p

..........................\.rivate\addtocols.c

..........................\.......\addtocols.m

..........................\.......\addtocols.mexw32

..........................\.......\add_dc.m

..........................\.......\col2imstep.c

..........................\.......\col2imstep.m

..........................\.......\col2imstep.mexw32

..........................\.......\collincomb.c

..........................\.......\collincomb.m

..........................\.......\collincomb.mexw32

..........................\.......\countcover.m

..........................\.......\dictdist.m

..........................\.......\im2colstep.c

..........................\.......\im2colstep.m

..........................\.......\im2colstep.mexw32

..........................\.......\imnormalize.m

..........................\.......\iswhole.m

..........................\.......\make.m

..........................\.......\mexutils.c

..........................\.......\mexutils.h

..........................\.......\normcols.m

..........................\.......\printf.m

..........................\.......\reggrid.m

..........................\.......\remove_dc.m

..........................\.......\rowlincomb.c

..........................\.......\rowlincomb.m

.

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