Fundamental_of_Speech_Recognition_-_Lawr.pdf

关于希尔伯特黄频谱的计算程序，提取的频谱信息可用于语音识别、故障检测等。(on Hilbert Huang spectrum calculation procedures to extract information of the spectrum can be used for voice recognition, fault detection.)

实现多个人的说话人识别，基于gmm模型，用mfcc参数训练(voice conversion based on gmm)

对语音信号基频的提取对于语音信号的分析有一定作用(Basic frequency of speech Analysis )

基于LSP分析的共振峰提取算法，可直接运行(LSP based on the analysis of formant extraction algorithm can be directly run)

自适应滤波器设计的matlab源程序，包括LMS,RLS,Kalman滤波等(Adaptive filter design matlab source code, including the LMS, RLS, Kalman filtering)

说明：  Fundamental_of_Speech_Recognition

基音提取并换算成音高,matlab程序，加入了优化的功能使得结果更好(Pitch extraction and converted into pitch, matlab program, joined the optimization of the function of making the results better)

attention model for saliency detection.

说明：  Use of repeater transponder controls, WebForm controls

说明：  盲信号处理课件 清华大学 内部课件 清华大学 内部课件(Blind Signal Processing)