搜索资源列表
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
mybss.rar
- fastica 的 语音分离 在matlab上的经典实现,Speech Separation fastica in matlab to achieve the classic
endpointdetection
- 语音检测的目的是在一串连续的记录信号中将重要的信息分离出来。在电信应用领域，语音检测是必需的。对于自动语音识别，端点检测在分离重要语音信息时是必需的，这样可以产生语音模式或语音模板。-Voice detection is aimed at a string of consecutive records of information important signal will be separated. At the field of telecommunications applications
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
speech2
- 为了提高语音分离算法的收敛速度以及分离性能，提出把拉普拉斯正态混合分布概率密度函数作为语音信号概率密度函数的估计，得到一个更加适合语音信号分离的激活函数，基于此函数提出一种快速语音分离算法.-In order to improve speech separation algorithm convergence speed and separation performance, raise the normal mixture distribution Laplace probability de
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!
maltabs-speech-siginal-processing
- 语音信号的分离程序 有兴趣的可以看看 主要是应用于盲源分离程序-Speech signal separation procedures are interested can look at
Ica-based-voice-separation
- 基于ica的语音分离,特别适合学习ica的新手，里面有测试语音数据。-Ica s voice-based separation, especially suitable for novice learning ica, test speech data.
blind-speech-separation
- 完成欠定盲语音分离，源信号为3路输入，有2路麦克风，用c实现。-Underdetermined blind speech separation is completed, the source signal is 3 inputs, 2 mic, with c achieve.
twoSpk_unsupervised
- 无监督的两个说话人的语音分离程序。matlab/C混合编程，有说明文档，可直接使用，搞语音分离的可以下载看看。-Unsupervised speech separation for two speaker. Matlab/C mixed programming, there are documentation, can be used directly, and engage in voice separation can download to see.
BinauralDNN
- This Matlab program implements the cochannel speech separation algorithm Yi Jiang, D. L. Wang, et al. (2014), "Binaural Classification for Reverberant Speech Segregation Using Deep Neural Networks," .
DNN_toolbox
- This folder contains Matlab programs for a toolbox for supervised speech separation using deep neural networks (DNNs). This toolbox is composed by Jitong Chen, based on an earlier version written by Yuxuan Wang. The toolbox is further improved by Yuz
FastICA_25
- 利用独立变量分析的算法实现语音之间得分离。任何声音与人声的混合，人声与人声的混合都可以实现(Using independent variable analysis algorithm to achieve separation between speech. Any mixture of sound and vocals, mixing of vocals and vocals can be achieved)
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.)