搜索资源列表
ica_v0.04
- ica语音分离算法，cadoso经典奉献-ICA algorithm of speech signal separating. contributed by Cadaso
装载和播放波形声音
- 你好我是一位毕业生需要ICA语音识别系统 请大家帮忙 还有十天就交了我没做出来啊 ！-Hello, I need is a graduate of ICA Speech Recognition System Please help ten days on the eve of the I never come out ah!
ica_2s
- 自己写的关于ica语音分离的，性能不怎么样，但还是可以运行-A program for ICA speech signal separating created by myself. Although the function is not excellent, it can run.
icamatlabcodeforsignalprocessi
- ica语音信号分离的程序，带有实验录音和图片，可直接进行操作和原代码分析。,ica voice signal separation procedure, with experimental audio and picture, can be directly carried out the operation and analysis of the original code.
ICA
- fastica语音分离 3个混合的语音信号，分离开来-fastica speech separation
ica
- 可以分离语音的独立分量分析程序 可以实现瞬时和卷积混合的分离 相当好用-ica_f.m bsepf2 is the main program and it needs correlation.m decorrelation.m permutation.m sepfilter.m. You also need to visit ftp://sig.enst.fr/pub/jfc/Algo/Joint_Diag/ and get a matlab
aac-frame7
- 语音分离的一个程序，还成吧,ICA算法，可以看一看。-a programme for speech sepration.
盲信号的语音分离MATLAB程序
- 一个很好的语音分离程序，带有三个.wav格式的语音原文件，同时用ICA和PCA两种方法对混合信号进行分离.
Bell_Sejnowski_ICA
- 两路语音信号的Bell-Sejnowski ICA算法 -Basic Bell-Sejnowski ICA algorithm demonstrated on 2 speech signals.
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
VoiceSeperationFastICA
- 两路语音信号混合及解混的基于自然梯度的极大似然算法MATLAB仿真程序-Two-way voice signals mixed and mixed solution of the natural gradient-based maximum likelihood algorithm of the MATLAB simulation 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
hhh
- ：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the t
fastICA
- fastica在matlab中的应用 包括源码及模块 基于ica的语音分离技术-fastica in matlab application, including source code and modules ica-based voice separation technology
ica
- 基于ica的语音分离技术，研究生论文-Ica-based voice separation technology, post-graduate thesis
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.
Fast-ICA
- FASTICA语音信号分离MATLAB源代码-FASTICA MATLAB source separation of speech signals
ICA
- 独立分量分析（ICA）以非高斯源信号为研究对象，在统计独立的假设下，对多路观测到的混合信号进行盲信号分离，已广泛应用于无线通信、生物信号提取、语音信号处理、图像处理和噪声抑制等领域。 -The independent component analysis (ICA) addresses non-Gaussian source signals under amusing independent each other, it performs blind separation for multi-c
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.)