搜索资源列表
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
ICA
- fastica语音分离 3个混合的语音信号,分离开来-fastica speech separation
code
- 基于非负矩阵分解的语音分离方法,matlab实现-NMF-based speech separation method, matlab implementation
Burg
- 实现两个语音信号的分离,采用Burg算法-To achieve the separation of two speech signals using the Burg algorithm
BSS_Demo4SP_20Mar2k5
- 定点频域ICA,使用高斯函数、负熵最大化来处理语音信号分离问题的演示-FIXED-POINT FREQUENCY DOMAIN ICA with GENERALIZED GAUSSIAN FUNCTION BASED NEGENTROPY APPROXIMATION for SPEECH SIGNAL SEPARATION
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
duanshinengliagn
- 语音信号的短时能量程序,可以实现清浊音分离-Short-time speech signal energy program, you can achieve the sound separation Qingzhuo
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
lcl
- 该程序运用NLMS算法对两端语音信号进行分离,模型采用了回波抵消器的数学模型,并附加了处理后的语音信号,效果明显!-The program ends using NLMS algorithm for speech signal separation, model Echo Canceller using a mathematical model and attached processed voice signal, the effect obviously!
voice
- 基于瞬时线形混合模型的语音信号分离的MATLAB程序-Instantaneous linear mixing model based on speech signal separation MATLAB program
UnderdeterminedSeparationofInstaneousSpeechMixture
- 详细描述了关于几个同时说话人语音分离的情况,其中包括了原代码和测试语音,测试结果表明分离效果很好,能够区分不同人说话的语音,明显提高语音识别率。其中的参考论文在readme中。-A detailed descr iption about several while speaking voice separate conditions, including the original code and test speech, test results show that the effect is
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
Pearson_ICA
- In frequency-domain blind source separation (BSS) for speech with independent component analysis (ICA), a practical parametric Pearson distribution system is used to model the distribution of frequency-domain source signals.-In frequency-domain blin
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!
ToolboxIWS--deconverlution
- 语音分离的研究在语音通信、声学目标检测、声音信号增强等方面有着重要的理论意义和实用价值。而将语音分离技术应用到智能机器人中。让机器人具有智能的听觉,实现声源定位和分离,确定说话人个数,进行人机对话等方面更具有广阔的应用前景。 -Separation of speech in voice communications, acoustic target detection, sound signal enhancement, and so has important theoretical sign
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-speech-separate
- 实现语音分离,ica算法提取不同的语音,非常实用的算法实现-Speech separation, the ica algorithm to extract different voice, a very practical algorithm
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.
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