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lpcc
- 线性预测这一术语是维纳于1947年首次提出的，此后，线性预测应用于许多领域中。1967年，办仓等人最先将线性预测技术应用到语音分析和合成中。-Linear predictive analysis is one of the most effective analysis t echnology of speech,it is widely applies in the domain of speech processing,such as specch synthesis,speech reco
testdata
- LPCC FUNCTION matlab and signal processing toolbox for the lpc function
lpc
- 功能：计算lpc系数由lpc得到lpcc，对模板参数和样本参数进行dtw比较 -Function: lpc coefficient calculated by the lpc be lpcc, samples of the template parameters and parameters of Comparative dtw
97288435Speech_signal_short_time_analysis
- 关于双门限法的语音端点检测，及其量化和LPCC算法及倒谱参数的计算-limit on the two-door method of voice endpoint detection, and quantification and LPCC algorithm and Cepstrum calculations.
figureextract
- matlab环境下计算MFCC参数（mel倒谱参数），lpcc参数（线性预测倒谱）和pitch（基因）-calculate mfcc lpcc pitch
yuyingshibie
- matlab实现的很有用的语音识别源代码，包括MFCC，LPCC，DTW，Mel滤波器，端点检测等程序的实现。-Useful code of audio recognization writed by matlab, inclucing MFCC, LPCC, DTW, Mel Filter, Port Detection etc.
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
Research_0n_Speech_Cepstral_Features
- 该文在研究基于线性预测倒谱和非线性MEL刻度倒谱特征的基础上，研究了LPCC和MFCC参数提取的算法原理及提取算法，提出了一级、二级差分倒谱特征参数的提取算法。识别实验验证了MFCC参数的鲁棒性优于LPCC参数。-In this paper, research is based on linear prediction and nonlinear MEL Cepstrum Cepstrum scale, based on studies of LPCC and MFCC parameter ex
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
lpcc
- 实现将lpc转换为lpcc系数 用于dsp语音识别-Implementation will be converted to lpcc lpc coefficients for speech recognition dsp
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
12093206LPCC
- matlab lpcc file content
shuohuaren
- LPCC、MFCC的参数提取，说话人识别的代码-LPCC, MFCC parameter extraction, speaker identification code
voice
- 语音识别中几个常用例程： 语音信号高频提升、短时能量检测、过零率计算、LPCC系数计算、基于短时能量和过零率的语音信号端点检测。-voice recogniton
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"
LPCC
- 语音信号处理中的LPCC特征参数处理源程序-LPCC feature parameter processing source in the speech signal processing
lpcc-matlab
- matlab程序，从语音中提取lpcc，可以修改维数，带详细中文解释，方便阅读。-matlab program, extracted from voice lpcc, you can modify the dimension, with a detailed explanation of the Chinese, and easy to read.