搜索资源列表
LPC
- lpc计算。杜宾算法计算的LPC，利用此参数可进一不计算出LPCC。-LPC calculation. Durbin algorithm of LPC, the use of this parameter can not be calculated into one LPCC.
exp_3
- 利用杜宾算法求lpcc系数，非常有用-Durbin algorithm for the use of lpcc coefficient, very useful
MFCCcanshu
- 6篇有关语音识别特征参数的科技论文，主要包括MFCC参数LPCC参数以及小波应用于特征提取的研究-6 on the speech recognition feature parameters of scientific papers, including MFCC parameters LPCC parameters and wavelet feature extraction applied to the study
vq
- 使用lpcc参数的vq算法，vq为主函数，lpcc是提取线性倒谱系数-The use of the VQ algorithm lpcc parameters, vq-based function, lpcc is the extraction of linear cepstrum coefficients
LPCCandMFCCzang
- 基于LPCC和MFCC的藏语语音端点检测算法-method of lpcc and mfcc for the edge detection of Zang language
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 a
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
YuYinTeZhengTiQu
- 语音特征参数提取方法研究(lpcc,mfcc)-Speech feature extraction method. Pdf
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
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
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 : Y
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 p