基于HMM的汉语语音关键词检测
hinese Speech Keywords Spotting Based on HMM
本文在系统分析关键词检测系统基本框架、HMM原理、语音特征参数提取（MFCC）及分形维算法的基础上，针对现有关键词检测系统在训练样本、填料模板、检测效率、检测时间方面存在的问题，重点研究设计了基于HMM的汉语语音关键词检测系统，并在填料模板创建、状态搜索算法和检测确认策略等方面做了诸多改进。
his article systematically introduced the principles and framework of keywords spotting, the theory of HMM, speech feature extraction (MFCC), and fractal dimension algorithm. On this base, this paper designed a keywords spotting system on the base of HMM and make a lot of improving to the training samples requirements, filler model and detection efficiency which are major problems of the existing system.
阙大顺、文先林
汉语通信
HMMMFCC填料模板状态搜索
HMMMFCCfiller modeldetection efficiency
阙大顺,文先林.基于HMM的汉语语音关键词检测[EB/OL].(2009-09-21)[2025-08-10].http://www.paper.edu.cn/releasepaper/content/200909-539.点此复制
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