Dev tools: matlab
File size: 9 KB
Update: 2006-06-20
Downloads: 95
Describe:
probabilistic neural network based on the number of voice recognition procedures Matlab
File list(time 1998051213~2009021017)(Click to check if it's the file you need, and recomment it at the bottom):
基于概率神经网络的数字语音识别matlab程序
........................................\newpnn
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demopnn1.m ........................................\......\
ENFRAME.M ........................................\......\
MELBANKM.M ........................................\......\
mfcc.m ........................................\......\
testpnn.asv ........................................\......\
testpnn.m ........................................\......\
vad.m ........................................\......\新建 文本文档.txt
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1.rar] - Abstract: The general speaker recognition system includes feature extraction and recognition model in two parts, of which the choice of the characteri
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SVM-KM.zip] - Kernel-based analysis of the many types of classifier, support vector machine multi-category classification, suitable for study of learning, welcomed
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nefcon.zip] - FNN using Matlab programming o install NEFCON follow these steps : 1. Unpack the tar file NEFCON.TAR MATLAB into your working directory : tar xf NEFCO
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dtw.rar] - Dynamic time warping algorithm for speech recognition, pattern matching, etc., in the matlab environment
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gpsins.rar] - klaman filtering algorithm Matlab programming, mainly for the gps positioning, very good value, running through
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222.rar] - Established a self-organizing neural network-based speech recognition system. Carried out on the speech signal pre-processing, extraction of the speec
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temp_matlab.rar] - Front-end voice recognition technology, Voice Pitch Detection
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DWNN_nn.rar] - wavelet neural network classification, the learning rate factor, network momentum contribution factor, network multiresolution series. Translation net
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DHMM_MATLAB.rar] - prepared using Matlab-based DHMM voice recognition procedures
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jiangzao2.rar] - M procedures, the original signal plus noise, obtained the original signal filtering