搜索资源列表
MFCC-and-SVM
- 建立了普通话语音性别数据库,提出联合梅尔频率频谱系数(Mel2f requency Cep st rum Coefficient s , MFCC) 的特征提取方法和支持向量机(Support Vector Machine , SVM) 的分类方法进行说话人性别识别,并与其它分类方法进行比较。-A Chinese speech ( mandarin ) database was established for speaker s gender recognition. A combina
mfcc
- Mfcc 提取语音特征参数 可以分辨出不同情感-Mfcc speech feature extraction can distinguish between different emotions
MELBANKM
- 语音处理矢量量化技术，用于从一帧语音中提取特征矢量 相当有用-in speech signal process vector quantization technology with matlab code
matlabsooucecode
- 语音处理的经典代码，对语音的特征提取有很大的帮助-Voice processing of the classic code
C
- 通过对语音信号的特征提取，实现了对语音信号的分析，并且用于实验-Through the speech signal feature extraction, the realization of the speech signal analysis and used in experiments
rastamat
- 语音信号特征提取技术,PLP，MFCC,FFT等MATLAB程序。-plp mfcc
mfccOfSoundmethodand
- 语音特征pdf资料，关于发音方法，发音部位的mfcc特征提取，稍微细节的思路-Pdf speech features information on pronunciation, articulation of mfcc feature extraction, the idea of a little detail
audio-shibie
- 声音 语音 声波 识别系统 PPT 特征提取 分类算法设计-Voice recognition system
mean-K-KPCA
- 通过核 K- 均值聚类的方法对语音帧进行聚类 , 由于聚类的中心能够很好地代表类内的特征, 用中心样本帧取代该类, 减少了核矩阵的维数, 然后再采用稀疏 KPCA方法对核矩阵进行特征提取。-Through the nuclear K-means clustering method for clustering of speech frames, the cluster center can be a good representative of the class characteristics
final-vioce
- 语音识别 dtw算法 mfcc特征提取 用于特定人识别-Speech recognition dtw mfcc
dtw
- 本为主要阐述了小波变换在语音信号去噪的应用，语音端点的检测，语音特征的提取及一种简单的语音识别算法。-This is mainly expounds the wavelet transform in the application of speech signal denoising, speech endpoint detection, speech characteristics of the extraction and a simple speech recognition algori
yuyinshibie
- 基于特定人情感的语音识别，语音情感特征提取；语音情感分类器的设计，完成了一个特定人语音情感识别的初步系统。内容很丰富-In this article, we have accomplished a system for emotion recognition of speech by establishing a database of speech with certain emotion by certain people analyzing emotion features and de
LPCC
- LPCC语音信号特征提取程序，参考《Matlab扩展编程》-The LPCC speech signal feature extraction procedures, refer to the " Matlab extension programming"
LPC
- 利用LPC算法实现对于语音信号的特征提取，将一帧的语音信号用简化模型的参数来表示-The use of the LPC algorithm to extract to achieve For the the characteristics of of the voice signal, will the the a of the voice to represent the by the signal with a simplified the the the parameters of of
voice-preprocessing
- 实现对语音的预处理，包括预加重，加窗，端点检测，以及MFCC特征提取。-The voice preprocessing, including pre-emphasis, windowing, endpoint detection, as well as the MFCC feature extraction.
wave2mfcc
- 一个非常好的说话人识别特征提取程序，直接对wav文件操作，提取mfcc语音特征值，通过调试-A very good speaker recognition feature extraction process, directly on the wav file, the extraction mfcc voice eigenvalue, through the debugger
SLPCCp
- 语音识别中的LPCC特征提取，其中包括经典的算法函数如DDurbin，协方差函数求法等，对学习提取特征参数非常有用。 -LPCC feature extraction in speech recognition, including classic algorithmic functions such as DDurbin covariance function evaluation method, the feature extraction parameters are very use
Fmelmfccr
- 从说话人的语音信号中提取说话人的个性特征是声纹识别的的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数 -Extracted from the speaker' s voice signal in the speaker' s personality is the key to the voiceprint identification. Introduces the speech signal feature extraction method in Mel cepstra
HMM
- 语音识别与合成的基本程序，分为特征提取、模型建立和语音识别，且包括特征补偿-Basic procedures for speech recognition and synthesis, divided into feature extraction, modeling and speech recognition, including feature compensation
harmonic
- 语音harmonic特征提取，先对语音信号分帧，然后对每一帧使用中心频率维基音频率的倍数的带通滤波器进行滤波，最后滤波结果的傅立叶变换的结果-Voice harmonic feature extraction, the first speech signal sub-frame, and then using the center frequency for each frame of Wiki sound frequency multiple of the band-pass filter f