▍1. Fast ICA
fastICA用于盲源分离，文件中有三个语音文件进行混合后再分离。(FastICA is used for blind source separation, in which three voice files are mixed and then separated.)
更多选项
▍2. sinpro
这是一个小波语音降噪程序，很详细，有参考价值。(This is a wavelet voice noise reduction program, in great detail, a valuable reference.)
▍3. MMSE_IC
基于LMS(最小均方误差算法)的自适应滤波 基于LMS(最小均方误差算法)的自适应滤波(based on the LMS (MMSE) algorithm based on the LMS adaptive filtering (minimum mean square error algorithm) the adaptive filtering based on the LMS (minimum mean square error algorithm) Adaptive Filter)
▍4. speakeridentification
用vq算法进行说话人识别，能达到良好的效果(Using VQ speaker recognition algorithm can achieve good results)
▍6. 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.)
▍8. New folder (3)
DSP codes,Radial Basis functions, sum of sinusoidal signals,Histogram
▍9. VQ ASR
基于VQ的说话人识别系统，在MATLAB环境下实现基于矢量量化的说话人识别系统。在实时录音的情况下，利用该说话人识别系统，对不同的人的1s～7s的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。(speaker recognition system based on vector quantization)
▍10. 新建文件夹 (4)
基于matlab的HMM语音识别仿真，通过matlab实现对0-9数字的语音识别(HMM speech recognition simulation based on MATLAB)
▍11. 最终代码说话人识别
实现了基于特定话语的聚类LGB和VQ的说话人识别(Speaker Recognition Based on Clustering LGB and VQ)
▍12. speech recognition with DTW
基于DTW算法实现孤立数字及连续数字语句的识别，识别率还可以（内含语音数据集）(Based on DTW algorithm, isolated number and continuous number statements can be recognized, and the recognition rate can also be (including voice data set))
▍13. yuyin
matlab语音识别与分辨，可以做到特定语句的识别和特定人的识别。(Matlab speech recognition and resolution)
▍14. MFCC_Coding_Demo2
characteristic parameters for speech recognition on the extraction function
▍15. chapter3_4
计算语音的短时平均能量。可以作为清音和浊音的特征参数，可以作为有声无声的依据(Calculate the short-term average energy of speech. It can be used as a characteristic parameter of voiceless and unvoiced sounds, and as a basis for sound and silence.)
▍16. 传统谱减与MCRA语音增强算法
传统语音增强算法，谱减法和MCRC算法，matlab源代码。(Traditional speech enhancement algorithm, spectral subtraction and MCRC algorithm, matlab source code.)
▍18. 谱减法BOLL
对基于残留噪声去除的谱减法的编程，实现了高去噪水平(The program of spectral subtraction based on residual noise removal has achieved high denoising level.)
▍19. 基于矢量量化（VQ）的说话人识别算法
基于矢量量化（VQ）的说话人识别算法源码(A Speaker Recognition Method Based on Modified VQ Algorithm)
▍20. fixedbeam
经典麦克风语音增强算法，当阵元数目越多，语音增强效果越好(Classical microphone speech enhancement algorithm, the more the number of elements, the better the speech enhancement effect)
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