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application_of_special_person_on_ASR_for_the_contr
- 常用的说话人识别方法有模板匹配法、统计建模法、联接主义法(即人工神经网络实现)。考虑到数据量、实时性以及识别率的问题，采用基于矢量量化和隐马尔可夫模型(HMM)相结合的方法。 说话人识别的系统主要由语音特征矢量提取单元(前端处理)、训练单元、识别单元和后处理单元组成，
feature
- 语音信号特征提取的源程序，很有帮助！希望大家参考一下！
语音矢量化及算法及与原文件的矢量对比功能源代码
- 基于VC++的语音信号在提取特征参数后，进行HMM模型训练前的关键一步，对特征参数进行矢量量划，作为观测值输入
YuYinTeZhengTiQu.rar
- 语音特征参数提取方法研究(lpcc,mfcc),Speech feature extraction method. Pdf
mfcc.rar
- 为MFCC的MATLAB程序，用于语音识别结束的特征参数提取,MFCC
A_35
- 语音识别matlab源代码，包括预处理、特征提取、训练识别-Speech recognition matlab source code
lpc
- 语音信号的特征提取，MATLAB编程实现LPC分析-LPC
VoiceActivityDetection
- 在本文中,主要讲了在语音识别和语音合成之前我们所要做的主要工作，包括去噪,预加重,端点检测,特征参数提取等技术.-In this article, the main speaker in the speech recognition and speech synthesis to be done before we have major work, including de-noising, pre-emphasis, endpoint detection, feature extraction
a_novel_speake_identification_system_based_on_GMM_
- 文中详细介绍了一种基于GMM 与 SVM的说话人识别系统。包括特征提取，算法实现及实验数据。对语音处理及说话人识别技术的研究者很有帮助。-Introduce a novel speake identification system based on GMM and SVM,with feature extract,algorithm research and experiment data.This doc would be helpful to those who are working on
paper2
- 语音识别技术主要包括特征提取技术、模式匹配准则及模型训练技术三个方面。此外，还涉及到语音识别单元的选取。选择识别单元是语音识别研究的第一步。语音识别单元有单词（句）、音节和音素三种，具体选择哪一种，由具体的研究任务决定。-Speech recognition technology, including feature extraction techniques, pattern-matching criteria and the three aspects of model training t
bpsk15
- 语音端点检测，是语音压缩时提取特征参数的一个必要的过程，这个程序主要是对这个过程的一个小的程序。希望对学语音的有帮助-Extreme point detecting is a primily process to get the eigenparameter when you compressing the speech.This program is a small one,it will help for the learner.
EMD-based-method
- 基于EMD法的语音信号特征提取 相关论文-EMD-based method of speech signal feature extraction related papers
Mfccvq
- 语音识别中提取mfcc特征矢量和矢量量化的c程序-Mfcc speech recognition to extract feature vector and the vector quantization process of c
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.
melmfcc
- 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关键。主要介绍语音信号特征提取方法中的Mel倒谱系数 -From the speaker s voice signal to extract the speaker s personality traits is the key to Voiceprint identification. Mainly introduces the speech signal feature extraction method in Mel cepstral
LPCC
- 语音识别中的LPCC特征提取，其中包括经典的算法函数如Durbin，协方差函数求法等，对学习提取特征参数非常有用。-feature extract of LPCC in speech recognition.I am sure you will love it ,if you are major in it.
praat5124_sources.tar
- 汉语语音特征参数提取程序提取特征擦数 汉语语音特征参数提取程序提取特征擦数-Chinese Speech feature extraction procedure
yuyinxinghaochulikejian
- 语音信号处理的课件，包含语音信号的短时分析、特征提取、矢量量化，语音编码、合成与识别.-Speech signal processing courseware, including short-time speech signal analysis, feature extraction, vector quantization, speech coding, synthesis and recognition.
voicebox
- 语音信号处理工具箱，包含常用的特征提取、断点检测、降噪算法等-voice signal processing toolbox
Speechrecognitiontechnology
- 比较详尽的介绍了语音识别系统的实现过程，以及相关技术。 端点检测：基于短时能量和短时平均过零率的端点检测和基于倒谱特征的端点检测 特征参数提取：LPCC和MFCC 参数模板存储：HMM和N_Gram 识别阶段：DWT 各阶段的相关技术都给了详细的介绍，绝对是好东西！-More detailed introduction to the speech recognition system implementation process and related technologie