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语音识别，dtw算法，matlab程序 语音识别，dtw算法，matlab程序(Speech recognition, dtw algorithm, matlab program speech recognition, dtw algorithm, matlab program)

基于ICA和PCA相结合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(Speech signal acquisition and random mixing based on ICA and PCA, and then the mixed speech signal is separated by blind separation.)

短时自相关和短时平均幅度差计算基音周期的matlab程序，附带有原语音信号(Short-term autocorrelation and short-term average deviation of pitch period matlab program, comes with the original speech signal)

利用自适应滤波器对心音信号进行预测，包括了LMS算法，归一化LMS，变步长LMS和RLS算法，其中RLS的预测效果最好.(Heart sound signals using adaptive filter to predict, including the LMS algorithm, the normalized LMS, variable step size LMS and RLS algorithm, in which the best forecast of RLS.)

基于FastICA相结合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(Speech signal acquisition and random mixing based on FastICA, and then the mixed speech signal is separated by blind separation.)

说明：  一个很好的原创谱相减法matlab程序。（转）(a good original Spectral subtraction Matlab procedures. (Rpm))

主要是研究光纤通信系统中的克服PMD效应的电域均衡技术，构建电域均衡器的模型并进行仿真实验。找到补偿PMD效应的较理想的电域均衡器结构。(Is to study, fiber-optic communication systems to overcome the effects of PMD electrical domain equalization technology, building a power domain equalizer model and simulation experiments. PMD compensation effect to find a better balance of power domain structure.)

the document explains speech recognition using mel frequency cpstrum coeefficient and noise reduction method

说明：  语音端点检测Matlab程序，附带计算信噪比的Matlab子程序，文本文档内是常用语音库的下载网址，非常使用(Voice activity detection Matlab program calculated signal to noise ratio with Matlab subroutine, the text is a common voice within the document library to download URL is used)

一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理(An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welch based re-estimation and Viterbi algorithm involved in HMM. it helps much better understand the HMM algorithm and its application for speech recogntion. )