搜索资源列表
bss_gbjz_ep_eeg_end
- 语音信号的盲分离，是一个很好的在没有先验知识的情况下的分离程序！-voice signals in the blind separation is a good in the absence of a priori knowledge of the separation procedure!
flexica
- 这是实际环境中语音信号盲分离的最新程序代码，用于语音信号独立分量分析ICA。解压后运行，输入录制的混合语音信号即可看到结果。-this is the actual environment of the speech signal separation blind to the latest code, Voice Signal for independent component analysis ICA. Unpacked operation, the importation of record
ToolboxBSS
- 盲分离算法，处理声音信号的分离，利用算法分离出语音信号，供语音识别使用-blind separation algorithm, the signal processing sound separation, the use of algorithms to isolate voice signal, for the use of speech recognition
BBS(3channls)
- 用MATLAB来实现3个通道的语音盲源分离 有源语音信号时实验结果图-To use MATLAB to achieve three-channel blind source separation of the active voice when the voice signal experimental results Figure
blindsourceseparation
- 固定步长和变步长批处理自然梯度语音盲分离算法，包括主程序和调用程序。-Fixed step and variable step-size batch natural gradient algorithm for blind separation of speech, including the main program and the calling program.
ica_r
- 带参考信号的盲源分离，很好用的程序，用于语音增强-ICA-R
AMUSE
- AMUSE，独立成分分析(ICA)算法之一，用于混合语音信号的盲分离-AMUSE, algorithm of independent component analysis, used in blind speech signal separation.
sobi
- SOBI算法，基于二阶统计量的独立成分分析算法，用于混合语音的盲分离。-SOBI algorithm, Second-Order Blind Identification algorithm, used in blind speech signal separation
ogrady2007_phd
- 国外欠定语音盲分离的博士论文，作者为Paul D. O’Grady，LOST算法的作者。该博士论文包括语音信号分离，非负矩阵分解等内容。-Sparse Separation of Under-Determined Speech Mixtures，A dissertation submitted for the degree of Doctor of Philosophy
jcwtlib-0.01.tar
- 独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独
jade
- 盲分离算法,处理语音信号，方法简单，实用！-bbs
mangxinhaoyuyinfenli
- 这是一些有关语音信号盲分离方面的外国文献，很有参考价值！该文献言简意赅，容易理解！-These are the blind separation of speech signals of foreign literature, a good reference! The literature concise, easy to understand!
CFICA_11
- 语音信号盲分离的一个号用的程序给大家共享，希望对大家有用-Blind separation of speech signals with a number of procedures to share, we hope to be useful
BSStechnology
- 语音信号盲分离技术的研究与应用 硕士论文-BSS technology on voice
blindseparationofmixedspeechsignals
- 不同方法对混合语音信号进行盲分离，比较经典的源代码-the blind separation of mixed speech signals using a slightly different method
mangfenli
- 语音信号处理中，语音盲分离的源程序，实现效果较好-Speech signal processing, the voice blind source separation, better
L5_answer
- 音频信号处理，实现自适应语音盲分离，输入两个信道的互相关音频信号，能互相分离出原始语音-Audio signal processing, adaptive voice separation, two channels of input audio signal cross-correlation, the original speech can be isolated each other
用MATLAB来实现3个通道的语音盲源分离
- 盲分离算法，处理声音信号的分离，供语音识别使用(Blind separation algorithm, which handles the separation of sound signals, is used for speech recognition.)
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.)
盲源分离
- 盲源分离来实现混合语音的分离，对于学习语音信号的有着很好的参考作用(Blind Source Separation (BSS) is a good reference for learning speech signals.)