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语音识别的matlab实现
lpc
程序很详细
-The realization of speech recognition matlab
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matlab 求线性倒谱系数,用于语音识别-matlab linear cepstral coefficients for speech recognition
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Filter bank representation methods for speech recognition and LPC recognition system
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LPC training and representation methods for speech recognition.
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linear predictive coding (LPC) is widely used for speaker recognition.
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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.
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Levison-Durbin 语音信号处理中的线性预测编码LPC 理论、格型滤波器以及求解现行预
测方程的算法，可以实现对语音信号重要元素的分析、合成甚至识别。
基于现有的实验平台，我们可以利用 Matlab 函数来获得几个固定语音元素（如元音）
的模型系数，LPC 得到的系数组成 IIR 滤波器。利用冲击脉冲
序列作为输入，我们就可以得到原来的语音。这是一种简单的语音合成功能。-Levison-Durbin speech signal processing in li
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基于LPC参数的简单语音识别，在TMS320VC5416平台上实现-A simple speech recognition based on LPC parameters,on the TMS320VC5416 platform.
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Speech recognition using LPC and Bank of Filter method, operated in Matlab-Speech recognition using LPC and Bank of Filter method,operated in Matlab
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dtw文件是运用DTW算法实现安静环境下语音识别的。其中vad.m是端点检测程序；lpc.m是计算LPC参数的程序；lpc21lpcc.m是计算LPCC参数的程序；mfcc.m是计算MFCC参数的程序；dtw.m是实现经典DTW算法的程序；dtw2.m是实现高效DTW算法的程序，testdtw.m是最终测试程序，其中可以通过改变其中的特征参数名选择不同的特征参数。-dtw file DTW algorithm is to use speech recognition in quiet envir
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基于人工神经网络的语音识别，运用了从语音中提取出的LPC参数与人工神经网络结合进行识别，使用matlab调试-Artificial neural network based speech recognition, the use of speech extracted from the LPC parameters and artificial neural network to identify, debug using matlab
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LPC speech recognition
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VOICEBOX: Speech Processing Toolbox for MATLAB
LPC Analysis of Speech
Speech Synthesis
Speech Enhancement
Speech Recognition-VOICEBOX is a speech processing toolbox consists of MATLAB routines .
LPC Analysis of Speech
Speech Synthesis
S
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一个带用户界面的matlab语音合成和识别的程序，MainGuide01.fig通过提取MFCC，用dtw来计算实时录音和模板之间的最小距离，给出识别结果，并且给出波形图，频谱图，语谱图。MainGuide02.fig是语音合成程序，通过load一个wav文件用LPC，残差和pitch两种方式进行合成，并且能实时听合成语音的效果。-This is an simple user interface program including speech recoginition and speech s
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MATLAB code for speech recognition using LPC
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Speech recognition using mfcc and lpc in matlab
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The number of states in GMM as the generative model of the frames is obtained using
k-means algorithm. This also helps to initialize the mean vector and the covariance
matrix of the individual state of the GMM. The training LPC frames collected fro
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LPC VIOCE RECOGNITION SING MATLAB
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