文件名称:HMM_VoiceRecognation
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通过基于HMM的语音识别系统的基本结构,详细介绍了语音信号采集、预处理、MFCC特征参数提取、HMM训练和HMM识别等主要模块的基本原理 并针对实际应用中HMM存在的模型初始化和数据溢出等问题进行分析,引入了一些能提高系统性能的相应措施。-By the basic structure of HMM-based speech recognition system, details the basic principles of audio signal acquisition, preprocessing, MFCC feature extraction, HMM training and HMM recognition and other major modules and for the model initialization exist in the practical application of HMM and data overflow and other issues are analyzed, we introduced some measures to improve system performance.
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下载文件列表
HMM_VoiceRecognation\baum.m
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....................\getparam.m
....................\hmm.mat
....................\HMM_VoiceRecognation.fig
....................\HMM_VoiceRecognation.m
....................\inithmm.m
....................\main.m
....................\mfcc.m
....................\mixture.m
....................\pdf.m
....................\recog.m
....................\samples.mat
....................\train.m
....................\vad.m
....................\viterbi.m
....................\data\test
....................\....\train
....................\data
HMM_VoiceRecognation