搜索资源列表
svmhmm
- svm和hmm混合模型手写签名认证,充分利用SVM的分类能力以及HMM适合处理连续信号的优势进行手写签名认证-hmm mixed model and svm handwritten signature authentication, make full use of the classification ability of SVM and HMM for continuous signal processing advantages of the handwritten signature v
SVM
- SVM分类器，针对语音信号的分类识别应用。内容非常多，大家可以筛选着利用。-SVMclassification
mfccPSVM
- 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.
svm-based-tone-recognition
- 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
rebuilt.HumanTimbre_recognition-master
- 利用mfcc特性进行语音识别，分类算法为svm。(Speech recognition using MFCC characteristics)
mfcc_svm
- mfcc特征提取法 以及svm训练 可以使用(MFCC feature extraction method and SVM training can be used)