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于 2020-06-25 发布文件大小:4307KB

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基于FastICA相结合实现的语音信号的采集、随机混合，再通过盲分离将混合后的语音信号分离(Speech signal acquisition and random mixing based on FastICA, and then the mixed speech signal is separated by blind separation.)

文件列表：

BBS, 0 , 2011-05-29
BBS\ICADemo.m, 3031 , 2019-07-05
BBS\man.wav, 882044 , 2006-05-28
BBS\MixedS1.wav, 882044 , 2011-05-29
BBS\MixedS2.wav, 882044 , 2011-05-29
BBS\music.wav, 882142 , 2006-05-28
BBS\SS1.wav, 882044 , 2011-05-29
BBS\SS2.wav, 882044 , 2011-05-29

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work
matlab的语音去噪程序，很好用的，有测试文件(Matlab speech denoising procedure is useful)

2012-06-08 20:38:49下载

积分：1
UsingHTK
HTK 应用，训练数据，HCOPY，辨识语音，HMM,(HTK applications, training data, HCOPY, voice recognition, HMM,)

2009-11-13 15:35:50下载

积分：1
ACF
采用自相关法提取语音信号的基音周期，根据男女生基音频率的不同，识别说话人性别。(Gender recognization system based on ACF)

2014-07-04 11:00:19下载

积分：1
lms
基于lms的改进型谱减法，降低噪声效果好(Improved LMS-based spectral subtraction, noise reduction effect)

2008-05-07 13:30:14下载

积分：1
ABSE
熵值越大则每个符号包含的平均信息量越大。有研究发现，在有噪声的语音信号中，语音信号的熵和噪声信号的熵存在着较大的差异，对噪声信号来说在整个频带内分布相对平坦，熵值小，语音信号集中在某些特定频段内，熵值大。因此利用这个差异可以区分噪音段和语音段。(The greater the entropy is, the greater the average information of each symbol is. It is found that, in noisy speech signals, the entropy of speech signals and the entropy of noise signals are quite different. For noisy signals, the distribution is relatively flat in the whole frequency band, and the entropy value is small. The speech signal is concentrated in some specific frequency bands, and the entropy value is large. So the difference can be used to distinguish the noise segment and the speech segment.)

2020-11-02 21:29:54下载

积分：1
hmm
实现mffc求解并且可利用hmm进行孤立词识别(Solving mffc realize and can be used for isolated word recognition hmm)

2007-09-19 18:37:16下载

积分：1
最终代码说话人识别
实现了基于特定话语的聚类LGB和VQ的说话人识别(Speaker Recognition Based on Clustering LGB and VQ)

2019-05-20 15:04:44下载

积分：1
Dtw
这是一个基于DTW的语音识别的代码，里面包含端点检测和MFCC的提取。(This is a DTW-based speech recognition code, which contains end point detection and the extraction of MFCC.)

2021-04-22 13:48:49下载

积分：1
the-basic-analysis-of-speech
语音信号时频分析，包括语谱图，过零率，自编的自相关，以及最后用了三种方法（短时能量和过零率、谱熵法、Teager算子）进行端点检测，代码完整且测试通过(time and frequency domain analysis of speech signals,including spectrogram,rate of zerocrossing,autocorrelation.and three method of endpoint detection,especially the Teager )

2014-02-18 19:26:21下载

积分：1
AudioG711
G711标准的语音编解码算法。以便于对语音信号进行大量存储(speech coding)

2010-10-10 20:15:03下载

积分：1

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