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Speech recognition system and method which permits a speaker's utterance to be recognized using a hidden markov model with subsequent calculation reduction

机译:语音识别系统和方法,允许使用隐藏的马尔可夫模型识别讲话者的话语,并减少随后的计算

摘要

A sound analyzer sound analyzes an input speech signal to obtain feature vectors. A matrix quantizer performs a matrix quantization process between the feature vectors obtained by the sound analyzer and a phonetic segment dictionary prepared in phonetic segment units to obtain a phonetic segment similarity sequence. A PS-phoneme integrating section integrates the phonetic segment similarity sequence into a phonemic feature vector. A HMM recognizer checks the phonemic feature vector using a HMM prepared in certain units, to thereby perform a recognition process.
机译:声音分析器声音分析输入的语音信号以获得特征向量。矩阵量化器在由声音分析器获得的特征矢量和以语音片段单元准备的语音片段字典之间执行矩阵量化处理,以获得语音片段相似性序列。 PS音素整合部分将语音片段相似性序列整合到音素特征向量中。 HMM识别器使用以某些单元准备的HMM检查音素向量,从而执行识别过程。

著录项

  • 公开/公告号US5649056A

    专利类型

  • 公开/公告日1997-07-15

    原文格式PDF

  • 申请/专利权人 KABUSHIKI KAISHA TOSHIBA;

    申请/专利号US19940195845

  • 发明设计人 TSUNEO NITTA;

    申请日1994-02-14

  • 分类号G10L5/00;

  • 国家 US

  • 入库时间 2022-08-22 03:09:47

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