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svlib_pc
- This class library contains more than 20 classes including feature extraction algorithms (MFCC, LPCC) and modeling techniques (HMM, GMM, DTW, VQ ) for automatic speech recognition and speaker verification
speech_analysis
- 这时一个语音特征提取的程序源码，除了包含矩阵运算和矢量运算外，还包含了很多语音特征的提取算法，包括：共振峰(formant)提取、基音(pitch)提取、端点(endpoint)检测、线性预测系数(LPCC)、MFCC、LSF、PLCC、EPOCH等。这是我见到的最全的语音分析源码，推荐！-Then a voice feature extraction procedures source, in addition to containing matrix and vector operation
speakerrecognition
- 语音识别中的两种特征提取方法lpcc和mfcc，还有一个是文本无关的识别算法dtw，另外还有一个是预处理消噪部分的。共享一下，这些都是我调试过的，好用。-Speech Recognition two feature extraction methods and mfcc lpcc. There is a text-independent recognition algorithm dtw, in addition to a pretreatment is part of the noise so
DTS
- 在DSP TMS320VC5402上实现的语音识别算法，使用代数汇编编程，编译器为CCS2.2。使用LPCC算法提取语音特征，DTW算法进行特征匹配-TMS320VC5402 DSP in the realization of speech recognition algorithm, the use of algebraic compilation of programming, compiler for DSP. LPCC Features extraction algorithm to u
lpcc_xiang
- c++语言开发，用于LPCC特征参数提取的，在语言识别系统中应用广泛。-c language, LPCC Features for feature extraction, in language recognition system widely used.
DTWspeakerrecognize
- 基于DTW方法的说话人识别程序，运用了LPCC参数和LPC参数的两者一起进行说话人身份的识别，有较好的识别效果。-DTW method based on the speaker identification procedures, LPCC Features use of the LPC parameters and the parameters of the two words together to identify the identity of the person, a better
MATLAB-YUYINSHIBIE
- 完整的基音识别程序,经过修改,测试正确。包含基音检测，DTW，LPCC，MFCC提取等-integrity of the pitch identification procedures, the result of the revision, the test correctly. Pitch Detection included, DTW, LPCC Features, MFCC extraction
xianxingyucedaopuxishucchengxu
- 求线性预测到谱系数（LPCC）程序（C语言）-linear forecast that the coefficients (LPCC Features) (C language)
PCXLIB
- 本程序包含语音压缩和语音识别领域所需的LPCC，MFCC特征提取算法以及语音端点检测源码。
dsds
- 基于改进LPCC和MFCC的汉语耳语音识别,在MATLAB上设计出了基于LPCC和MFCC的汉语语音孤立词识别/
lpcbwexp
- it is a open algorithem that calculate the coefficients of the lpcc filters. its efficiency could be quite different for different applications.
my_lpc
- 线性预测（LPC）是语音信号处理中最有效的分析方法之一，通过LPC谱，LPCC谱的分析，并结合LPC检测方法判断出语音的基音周期或共振峰。我们可以利用Matlab来进行编程实现，具有实现简单，效果良好的特点-The linear predictive (LPC) is one of the most important methods in speech processing. Through the LPC spectrum, the LPCC spectrum analysis, and u
2028
- OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Danı ş man : Yrd. Doç . Dr. H. Gö kh
yiuyinchuli
- 包含语音端点检测、基本语音处理算法MFCC、LPCC等，具有较高参考价值-Including voice activity detection, basic voice processing algorithms MFCC, LPCC, etc., with high reference value
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
shuohuaren
- LPCC、MFCC的参数提取，说话人识别的代码-LPCC, MFCC parameter extraction, speaker identification code
MFCC-LPCC
- 基于MFCC的利用LPCC做的说话人识别论文-Based on the MFCC the use of LPCC do the speaker identification papers
lpcc
- 这是基于matlab的关于LPCC (Linear Predictive Cepstral Coding)(线性预测倒谱系数) 的代码，对大家理解有一定帮助。-This is based on the matlab LPCC (Linear Predictive Cepstral Coding) (Linear Predictive Cepstral) code for us to understand some help.
LPCC
- 线性预测倒谱系数（Linear Prediction Cepstrum Coefficient,LPCC）是线性预测系数（Linear Prediction Coefficient,LPC）在倒谱域中的表示。该特征是基于语音信号为自回归信号的值设，利用线性预测分析获得倒谱系数。(Linear Prediction Cepstrum Coefficient)