HMM-based Keyword Spotting System

Abstract

Abstract: Keyword spotting is one of important topics in speech recognition. This paper presents an approach of hidden markov model(HMM)-based keyword spotting, researches and implements an iterative viterbi decoding method which has the precision of non-filler models and improves the efficiency of the system.

摘要： 关键词识别是语音识别中一个重要的研究方向。该文提出了一种基于HMM模型的关键词识别方法。研究并实现了一种新的具有无废料模型精度的采用迭代viterbi的解码算法，从而提高了关键词系统的识别效率。

关键词: 隐式马尔科夫模型, 迭代viterbi解码, 倒谱, 废料模型

CLC Number:

TN912.3

LI Yunxia,LI Zhizhu,WU Yadong. HMM-based Keyword Spotting System[J]. , 2004, 30(07): 134-136.

李云霞,李治柱,吴亚栋. 基于HMM的关键词识别系统[J]. , 2004, 30(07): 134-136.

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URL: https://www.ecice06.com/EN/Y2004/V30/I07/134

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