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Blind_Signal_Separation_instantaneous_mixing_the_a
- 盲信号分离(BSS)是指在对彼此独立的源信号混合过程及各源信号本身均未知的情况下，从混合信号中分离出这些源信号的方法。BSS可以用来从多个麦克风混合语音信号中提炼出单个语音信号。本文简要阐述LMS、RLS算法，并通过仿真实验来分析比较这两类方法的性能，并利用此方法对一实际的语音信号进行分离。
vcmatlab
- VC_与MATLAB混合编程在语音处理中的应用
DSP2
- DSB-SC信号的生成与解调 1) 用离散（DSP）的方法生成DSB信号 2) 载波频率为150KHz，音频为500Hz和2000Hz的混合音。 3) 加入高斯白噪声 （4） 语音信号 的传输。 改变抽样频率和量化台阶大小，观察重建信号以及量化噪声信号的波形；对于语音信号主观评价声音质量的变化。 -DSB-SC signal generation and demodulation 1) Discrete (DSP) methods to generate DSB signal 2) the ca
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
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.
2.4kMELPcoder.tar
- 2.4k混合激励语音压缩编码程序，不错的借鉴，原理可参见王炳锡书《语音编码》-kbps mixed excitation speech coding procedures, a good reference, Wang Bingxi principle can be found in "Speech Coding"
separation
- 采用子带GMM建模和贝叶斯理论来实现单信道混合语音的分离。主要分训练和分离两个阶段-Using sub-band GMM modeling and Bayesian theory to achieve the single-channel mixed audio separation. Mainly consists of two stages： training and separation
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
GmixHMM
- 语音处理工具箱，有关高斯混合模型的matlab编程需要用到的工具。-the toolbox of speech processing
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
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
- FASTICA算法实例，通过FASTICA算法实现两个混合语音信号的分离。-FASTICA Algorithm instance, through FASTICA algorithm with the separation of the two mixed speech signal.
ICA---EASI
- 盲信号语音分离的程序，基于独立分量的分离程序，若输入两个源信号，则可以输出一组混合信号和分离后的信号-Blind signal speech separation procedure, based on independent component separation procedure, enter the two source signals, the output signal after a group of mixed-signal and separation
GMM
- 利用GMM算法实现语音信号的高斯混合模型的建立-Gaussian mixture model GMM algorithm of speech signals
mangshi.m
- matlab语音信号盲分离,输入多路语音信号，恢复混合信号-matlab voice blind signal separation, enter the multi-channel voice signal, and restore mixed-signal
celiangSNR
- 程序主要是通过读入纯净的语音信号和对纯净语音信号加噪后的混合信号来实现测量加噪后语音信号的信噪比。测量准确度较高。-Read into the program mainly through pure voice signal and noise on the clean speech signal plus the mixed signal to achieve measurements with noise after the speech signal to noise ratio. Mea
gaussmix
- GMM（高斯混合模型），在语音和图像方面有着广泛的作用，用于特征值的建模以及识别。-GMM (Gaussian mixture model), the voice and image has a broader role for the eigenvalues of modeling and identification.
GMMshibie
- 通过应用高斯混合模型来实现语音识别，语音样本为短时语音-By applying a Gaussian mixture model to achieve speech recognition, voice samples of short-time speech
combing-mutil-paramters-
- 多特征参数混合的语音信号处理，主要应用于语音识别-singal processing based on combeining mutil parmetars for speech recogntion
perforICA
- 基于matlab的ICA语音信号的盲源分离代码，里面包含实际的混合语音，分析结果，结果还是挺不错的。-Based on Blind Source Separation of ICA matlab speech signal, which contains the actual mix of voice analysis results, the result was very good.