▍1. C_ZTQ
基于最小均方误差的助听器语音去噪算法, 用于以最大程度消除助听器接受的语音杂音.(Speech denoising algorithm based on the minimum mean square error of a hearing aid for the hearing aid acceptable voice murmur eliminated to the greatest extent.)
melp编解码 matlab 程序 (melp codec matlab program)
用于说话人识别(声纹识别)中训练过程和识别过程的高斯混合模型程序(GMM model for the training process or test process of speaker identification)
基于matlab环境下的一个独立分量分析的小程序,包括对三个语音信号混合后的ica分析(Analysis program based on an independent component in the Matlab environment, including analysis of three speech signals mixed after ica)
基于matlab的语言情感识别仿真,可以实现用户注册,识别使用者说话时的喜怒哀乐等情感,人数少时可以实现很高的准确率。(Emotion Recognition based on Matlab language simulation, you can implement user registration, the number of emotions such as feelings, identify the user to speak came from a high accuracy can be achieved.)
本实例程序是基于matlab的语音识别程序,通过提取传统的MFCC特征集,采用当前流行的SVM分类器,作为对比实验是一个不错的选择。(This example program is popular SVM classifier matlab speech recognition program to extract MFCC feature set, as a comparative experiment is a good choice. )
这是基于HMM的数字语音识别,实现了0到9 的识别,并带有GUI界面,可以进行录音和播放,预处理,识别结果准确,并附有音频(This is a digital speech recognition based on HMM identification of 0-9, with a GUI interface and recording box player, there are pretreatment, accurate identification, together with audio)
matlab编写的PCM脉冲编码调制simulink仿真模型,包含对不同频率语音信号的仿真。(Matlab prepared PCM pulse code modulation simulink simulation model, including the simulation of different frequencies of speech signals.)
一个完整的语音端点检测MATLAB程序序,包含有完整的文件,通过调试,正确可用 (An integrated voice activity detection MATLAB program, includinng complete documentation, through testing, can be used correctly )
特定人语音情感识别系统 关键词:语音信号,情感特征,情感识别 含论文、源代码、实验数据等( EMOTION RECOGNITION OF SPEECH BASED ON MATLAB Keywords:Speech Signal,Emotional Feature,Emotion Recognition)
用matlab对采集到的语音进行语音信号处理 包括设置各种滤波器 低通 高通 以及带通 设置好后 观察结果 (speech signal processing)
说话人识别GMM模型训练MATLAB程序,需要和voicebox配合使用,使用voicebox提取MFCC和k均值分类,这是GMM说话人识别模型的训练程序。(Speaker Recognition GMM model training MATLAB program used in conjunction with and voicebox, voicebox extract MFCC and k-means classification, which is a GMM speaker recognition model training program.)
编写一Matlab函数,用30ms三角窗和15ms帧移计算语音信号的STFT。并用OLA法重建原始信号。设计一种基于OLA的综合方法,以通过重复每帧对语音信号以因子2进行时域扩展。(Write a Matlab function, STFT and 30ms triangular window and 15ms frame-shift calculation of the speech signal. And the OLA method to reconstruct the original signal. Design an integrated approach based on OLA, by repeating each frame of the speech signal by a factor of 2 when the domain extension.)
通常语音信号在增强时会出现混响现象,演讲者为了消除背景混响,不得不频繁地偏转头部的方向,这样会造成脉冲响应的不断改变。我们结合盲解卷法和频谱消去法来提高逆滤波器的滤波效果。我们利用输入语音信号间的相关系数矩阵计算出稳定、精确的室内脉冲响应的逆滤波器,而这些输入信号无需测量室内的脉冲响应就能被观测到。逆滤波能够消除早期的反射,这些反射包含混响中的绝大部分能量。之后,用频谱消去法来抑制逆滤波后的信号的尾部混响。本方法在实际适应性方面的表现通过具体的实验进行了验证,结果表明盲解卷法和频谱消去法的结合相较于单独使用一种方法,能够提供一个更优越的演说环境。(Usually voice signal will be enhanced when the reverberation phenomenon, the speaker in order to eliminate the background reverberation, and had to frequently deflect the direction of the head, this will cause the impulse response of changing. We combine the blind deconvolution and spectral elimination method to improve the filtering effect of the inverse filter. We use the correlation coefficient matrix between the input speech signal to calculate the stable, accurate inverse filter of the indoor impulse response, and these input signals do not need to measure the room impulse response can be observed. Inverse filtering to eliminate early reflections, these reflections contains most of the energy in the reverberation. After the spectrum elimination method to suppress the tail reverberation of the signal after the inverse filtering. Performance in the actual adaptation of the method by specific experimental validation results show that the blind deconvolution and spectrum to eliminate )
原创,语音合成matlab程序,可改变一段语音的音调,语速等,实现男声变女声,女声变男声等功能。(The original speech synthesis matlab program can change a voice tone, speed, etc., to achieve male changed Girls, female become male functions.)
HMM语音识别的matlab程序,举了1-9几个数字的例子,对语音识别的程序进行了验证(HMM Speech Recognition program, cited the example of figures 1-9, the speech recognition process was validated)