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用matlab实现语音识别,通过耳麦说出前后左右来控制及其运动-Speech recognition using matlab to achieve through the headset out and around to control the movement
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regarding speech recognition using matlab
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speech recognition using matlab
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用matlab实现语音识别的测试,解压到根目录下运行即可-Speech recognition using matlab test, extract to the root directory can be run
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自己总结的一个基于 HHMs 语音识别的示例程序,附说明文档,Matlab程序的注释详细。希望能给予初学者帮助。-The following is an example of speech recognition program based on HMMs,and there are detailed notes in the program. May bring help to the beginner。
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在MATLAB 环境下利用语音工具箱Voice Box 实现基于连续概率密度隐含马尔科夫模型的汉语语音识别系统-Using Voice- Box a mandarin speech recognition system is realized based on CDHMM in MATLAB environment.
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Speech Recognition using MFCC and DTW in Matlab
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语音识别的HMM模型,采用matlab,对新手很有帮助的-HMM model for speech recognition using matlab helpful to novice
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SPEECH RECOGNISATION USING TEXT INDEPENDENT
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speech recognition using matlab
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this a matlab code for speech recognition using discrete wavelet transform. code is working very well and good for future research work.-this is a matlab code for speech recognition using discrete wavelet transform. code is working very well and good
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this a matlab code for speech recognition using discrete wavelet transform. code is working very well and good for future research work.-this is a matlab code for speech recognition using discrete wavelet transform. code is working very well and good
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本文介绍了基于MATLAB的语音识别系统,包括对语音信号的特征提取,包括语音信号的特征提取,快速傅立叶变换,离散余弦转换,线性预测分析,梅尔频率倒谱系数以及高斯混合模型。-This paper aims at development and performance analysis of a speaker dependent speech recognition
system using MATLAB® . The issues that were considered are 1
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speech recognition using matlab code
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SPEECH RECOGNITION USING MATLAB
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MATLAB code for speech recognition using LPC
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The speech signal for the particular isolated word can be viewed as the one generated using the sequential generating probabilistic model known as hidden Markov
model (HMM). Consider there are n states in the HMM. The particular isolated
speech sig
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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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speech recognition using MFCC as a feature extraction Method
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针对特定人dtw算法语音识别,实现0-9的数字识别用于初学者(speech recongition using dtw)
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