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Method and system for the reduction of processing time in a speech recognition system using the hidden markov model

机译:使用隐马尔可夫模型减少语音识别系统中处理时间的方法和系统

摘要

Disclosed is a speech recognition method in a speech recognition apparatus to applying speech recognition to a voice signal applied thereto. The input voice signal is converted from an analog to a digital signal and sequences of feature vectors are extracted based upon the digital signal (S12). A search space is defined by the sequences of feature vectors and an HMM (16) prepared beforehand for each unit of speech. The search space allows a transition between HMMs only in specific feature-vector sequences. A search is conducted in this space to find an optimum path for which the largest acoustic likelihood regarding the voice signal is obtained to find the result of recognition (S14), and this result is output (S15).
机译:公开了一种语音识别装置中的语音识别方法,用于将语音识别应用于施加到其上的语音信号。输入的语音信号从模拟信号转换为数字信号,并根据数字信号(S 12 )提取特征向量的序列。搜索空间由特征向量和预先为每个语音单元准备的HMM( 16 )的序列定义。搜索空间仅允许在特定特征向量序列中在HMM之间进行转换。在该空间中进行搜索以找到最佳路径,针对该路径获得与语音信号有关的最大声音似然以找到识别结果(S 14 ),并输出此结果(S < B> 15 )。

著录项

  • 公开/公告号US6801892B2

    专利类型

  • 公开/公告日2004-10-05

    原文格式PDF

  • 申请/专利权人 CANON KABUSHIKI KAISHA;

    申请/专利号US20010817039

  • 发明设计人 HIROKI YAMAMOTO;

    申请日2001-03-27

  • 分类号G10L151/80;

  • 国家 US

  • 入库时间 2022-08-21 23:16:48

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