Fast ICA

这是一个基于C++的语音识别系统,包括语音输入,识别,输出等功能(This is a C-based speech recognition systems, including voice input and recognition, output function)

语音识别,有GUI界面，实现0~9数字语音识别(speaker identification)

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.)

基于MFCC的GMM的说话人识别，是很好的语音处理程序(MFCC of the GMM based speaker recognition, speech processing is a very good program)

uds 诊断主机模式，采用C语言作为开发语音。( This is a platform agnostic C library that implements the Unified Diagnostics Services protocol for automotive electronics. UDS is documented in ISO 14229 and is the underpinning for the more well-known On-board Diagnostics (OBD) standard. The library currently supports UDS running over CAN (ISO 15765-4), which uses the ISO-TP (ISO 15765-2) protocol for message framing. This library doesn t assume anything about the source of your diagnostic message requests or underlying interface to the CAN bus)

声音特征提取程序，分帧后，对于每一帧提取MFCC等特征(voice feature extraction)

11阶自适应滤波器的LMS算法，并且与RLS进行了比较(11 steps LMS adaptive filter algorithm and the RLS were compared)

matlab实现的基于小波变化的语音去噪源码，可以去除语音中的背景噪声。(Matlab based on the wavelet changes in the voice de-noising source, you can remove the background noise in the voice.)

基于svm分类器的汉语声调识别，实现了对声调四声的识别，纯净语音识别率100 ，噪声环境下识别率90 (The svm classifier based Chinese tone recognition, the four tones of tone recognition, the pure voice recognition rate of 100 , 90 recognition rate in noisy environments)

这是自己毕业设计做的PCA和LDA的结合，训练和识别别过程都有，用的是ORL库里的图像，具有较高的识别率！ (This is a combination of PCA and LDA graduation design, training and do the process of the identification with ORL library of images, has a high recognition rate!)