搜索资源列表
EndPointDetector
- End point detector Implementation of "An Algorithm for Determining the Endpoints of Isolated Utterances, L. R. Rabiner and M. R.Sambur
MATLAB
- 描述了语音识别系统的基本框架以及用MATLAB实现语音识别技术-Describes the speech recognition system as well as the basic framework for the realization of speech recognition technology MATLAB
PCMVoice
- 通过ADPCM编码将一段语音进行编码，输出相应的波形图-Through a period of ADPCM speech coding will be encoded, the output waveforms corresponding
a
- 本程序是对语音信号去除噪声。MATLAB编写-This procedure is a speech signal to remove noise. MATLAB prepared
Y1303765
- 噪声环境下的说话人识别技术研究，论文。供研究语音识别的人员参考，学习。-Noise environments Speaker Recognition Technology, Thesis. Research on speech recognition for staff members to learn.
pitch_period_estimation
- This a code to determine the pitch period of voiced speech.-This is a code to determine the pitch period of voiced speech.
exp8
- to study about short time autocorelation of a speech signal
1587-1591
- it is descipe use of speech recogination using matlab
codebook
- codebook for speech coding
ifs001
- 对语音信号采用分形分段IFS的合成方法,并采用了线性插值法弥补合成效果的不足-the ifs models for speech signal systhies
pitch_estimation
- with this package,we can perform pitch estimation with different techniques, which is valuable in speech analysis.
SpeechCore
- hai take this source code for speech
MATLAByysb
- 用MATLAB进行语音识别的特征参数提取，其中包含了lpc和MFCC两种方法，并且测试通过。-Using MATLAB to carry out speech recognition feature extraction, which contains two methods lpc and MFCC, and the test.
audio processing
- 语音信号处理-对输入语音信号进行端点检测和基音轨迹的检测（利用acf、amdf和acf/amdf三种方法）。-Speech Signal Processing- the input voice signal trajectory endpoint detection and pitch detection (using acf, amdf and acf/amdf three methods).
DTW
- For create database for speech recognition system that extract features from sound files and save them in a file
AMUSE
- AMUSE，独立成分分析(ICA)算法之一，用于混合语音信号的盲分离-AMUSE, algorithm of independent component analysis, used in blind speech signal separation.
sobi
- SOBI算法，基于二阶统计量的独立成分分析算法，用于混合语音的盲分离。-SOBI algorithm, Second-Order Blind Identification algorithm, used in blind speech signal separation
0987542
- 一个声纹识别的全代码,包括语音信号的预处理,建模,和识别-Voiceprint identification of a full code, including the speech signal pre-processing, modeling, and identification
ogrady2007_phd
- 国外欠定语音盲分离的博士论文，作者为Paul D. O’Grady，LOST算法的作者。该博士论文包括语音信号分离，非负矩阵分解等内容。-Sparse Separation of Under-Determined Speech Mixtures，A dissertation submitted for the degree of Doctor of Philosophy
F2_6764
- 端点检测是指用数字处理技术来找出语音信号中的各种段落（如音素、音节、词素、词等）的始点和终点的位置。语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。传统的端点检测方法是从wav文件中获取语音采样，将其分帧并计算短时能量和过零率参数，然后进行端点检测。这种工作方式被称为离线处理方法 ，无法实现语音信号的实时处理，对于语音信号分析具有一定的局限性。本文通过开发ActiveX控件，在MATLAB环境下将其嵌入到figure窗口中，以GUI程序的方式使用，实现语音信号端点检测的实时处