▍1. mfcc
extract features by MFCC method using Matlab language
matlab代码,语音的压缩和编码,主要利用了心理声学模型,得到低比特编码 和高质量语音(matlab code, voice compression and coding, psychoacoustic model used by low-bit encoding and high-quality voice)
采用矢量量化对语音信号量化,并与标量量化对比分析,绘制了语音信号的概率密度曲线(The use of vector quantization for speech signal quantization and scalar quantization and comparative analysis, rendering the speech signal probability density curve)
利用matlab软件提取共振峰参数利用matlab软件提取共振峰参数(Formant extraction can be used for voice recognition technology)
Active Feedforward Narrowband Noise Cancellation using Matlab and Simulink
Speaker Identification using MFCC feature and VQ training, very clear MATLAB code
code for voice analysis final code for sapeech recognition
基于hmm的识别程序 识别数字0-9,识别率全对(speech recognition based on hmm number 0-9 all right)
台湾国立中央大学开发的EMD-HHT算法,其中,EMD-HHT的创始人为该中心的主任.(EMD-HHT IS SPECIALLY DESIGNED FOR PROCESSING NONSTATIONARY AND NONLINEAR SIGNALS. IT CAN DECOMPSE SIGNALS AND THEN RECONSTRUCT SIGNALS ACCORDING TO SOME CRITERIA. AFTER THE PROCESS, SIGNALS WOULD HAVE HIGH SIGNALTO NOISE RATIO. IT HAS BEEN APPLIED TO VARIOUS TYPES OF SINALS FROM INDUSTRY AND ACHIEVED GREAT SUCCESS. IT EVOLVES FROM THREE SOURCES: FRANCE SCIENTIST G RILLING, MATLAB FILE EXCHANGE CENTRE BY MR TAN AND TAIWAN NATIONAL CENTRAL UNIVERSITY CENTRE.)
用于汉语语调识别的程序,可以识别我们说话中的四个声调。已通过测试(Chinese tone recognition for the program, has been tested)
性别识别系统的Matlab实现,比较简单容易理解(Gender Recognition System Matlab implementation, relatively simple easy to understand)
一个通过实际应用的“ 人工鱼群算法”,效果很好的。(Through the practical application of the " artificial fish-swarm algorithm," good effects.)
针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点,文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数,得到其能量分布集中于信号的调频率曲线上的结论,此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计;然后通过解线性调频技术获得其初始频率和宽度的估计,仿真结果验证了本文算法的有效性。(this code includs one method for chirplet analasis,that is used in voice and ultra-wave analasys,etc.)
自相关函数的应用,进行基音检测,在MATLAB下进行仿真(Application of autocorrelation function for pitch detection, carried out in the MATLAB simulation)
基于非线性主分量分析(PAST)的 自适应盲信号分离 (Based on nonlinear principal component analysis (PAST) Adaptive Blind Signal Separation)