搜索资源列表
htkbook_pdf
- 此为HTK使用参考手册，HTK适合于语音研究人员使用。-HTK handbook
119128658HMM_HTK-3.0
- 语音识别降尾优化算法主要采用lpcc mfcc 等优化算法 非常实用-Speech recognition mainly uses the lower end of optimization algorithms and other optimization algorithms lpcc mfcc very useful
voice
- 采用增减特征分量的方法研究了MFCC 各维倒谱分量对说话人识别和语音识别的贡献-Changes in characteristics of components using the method of the MFCC cepstrum of each dimensional component of the speaker recognition and speech recognition of the contribution
MFCC-feature
- 通过matlab实现语音信号提取MFCC特征-To extract MFCC characteristics matlab voice signal
paper-of-VAD
- 语音端点检测的各种论文，包括MFCC、过零率、短时能量、小波以及谱熵等方法，对编写语音VAD算法有很大的帮助-Speech endpoint detection in a variety of papers, including MFCC, zero-crossing rate, short-term energy, wavelet and spectral entropy method, write voice VAD algorithm of great help
mfccmode
- MFCC MATLAB 实现，主要是在分布式语音信号参数提取方面的代码，提取出的参数直接量化编码-MFCC MATLAB implementation, the main voice signal in the distributed parameter extraction of the code, the extracted coding parameters to directly quantify
mfcc
- 求出语音mel倒谱系数的matlab代码，返回mfc-function mfc=mfcc(x)
mfcc
- 在语音辨识（Speech Recognition）和语者辨识（Speaker Recognition）方面，最常用到的语音特征就是「梅尔倒频谱系数」（Mel-scale Frequency Cepstral Coefficients，简称MFCC），此参数考虑到人耳对不同频率的感受程度，因此特别适合用在语音辨识。