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语音信号混合与分离源代码

于 2020-06-25 发布文件大小:5KB

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最经典的基于ICA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(The most classical ICA-based speech signal acquisition, random mixing, and then the mixed speech signal is separated by blind separation.)

文件列表：

语音信号混合与分离源代码, 0 , 2019-07-05
语音信号混合与分离源代码\yuyin.m, 5202 , 2019-06-21
语音信号混合与分离源代码\yy1.m, 1734 , 2019-06-21
语音信号混合与分离源代码\yy2.m, 2070 , 2019-06-21
语音信号混合与分离源代码\yy3.m, 3014 , 2019-06-21

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语音信号混合与分离源代码
最经典的基于ICA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(The most classical ICA-based speech signal acquisition, random mixing, and then the mixed speech signal is separated by blind separation.)

2020-06-25 12:00:02下载

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本实例程序是基于matlab的语音识别程序，通过提取传统的MFCC特征集，采用当前流行的SVM分类器，作为对比实验是一个不错的选择。(This example program is popular SVM classifier matlab speech recognition program to extract MFCC feature set, as a comparative experiment is a good choice. )

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语音信号混合与分离源代码

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