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在分析语音特征提取方法基础上提出一种改进组合算法,并采用HMM 声学模型和Viterbi 算法进行模式训练和识别.-Speech feature extraction method in the analysis based on the combination of an improved algorithm, and using HMM acoustic model and the Viterbi algorithm for model training and recognition.
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HTKbook 3.4
包括所有的HTK 语言的用法以及samples(HTK is a toolkit for building Hidden Markov Models (HMMs). HMMs can be used to model
any time series and the core of HTK is similarly general-purpose. However, HTK is primarily
designed for building HMM-based s
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Compared with the results of theoretical analysis, Complete HMM-based speech recognition system, Modeling and simulation pwm rectifie.
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基于HMM的语音识别系统，识别数字1~10(Speech recognition system based on HMM and identification of digital 1~10)
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java实现语音信号的识别，利用MFCC等参数和HMM模型(Java realizes the recognition of speech signals, and utilizes MFCC and other parameters and HMM models.)
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基于hmm模型能进行语音识别，识别汉语数字0到9.(Based on the HMM model, speech recognition can be done and Chinese digits can be recognized from 0 to 9..)
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通过语音识别对类型进行分类，使用HMM-GMM模型(Classification is done by speech recognition, using HMM-GMM model.)
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利用了DTW和HMM语音识别技术，进行了语音识别的仿真(The speech recognition technology is simulated by using DTW and HMM speech recognition technology.)
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