计算机工程2012，Vol.38Issue(7)：287-289,3.DOI:10.3969/j.issn.1000-3428.2012.07.094
基于相邻帧特征相似性的快速关键词检出方法
Rapid Keyword Spotting Method Based on Feature Similarity of Adjacent Frames
摘要
Abstract
Aiming at the problem that the Keyword Spotting(KWS) system can not calculate the state likelihood effectively. Based on nearest-neighbor approximation, a new technique named Feature Similarity of Adjacent Frames(FSAF) is proposed. Depending on the high similarity of adjacent frames, it uses some of the maximum mixtures of the previous frame to predict the maximum mixture used by the current frame to calculate the likelihood quickly. Experimental result shows the technique reduces the recognition time by 29.3% over baseline system, but the identification performance is kept, it can be applied to actual projects.关键词
语音识别/关键词检出/GMM估算/在线垃圾模型/相邻帧特征相似性/隐马尔科夫模型Key words
speech recognition/ Keyword Spotting(KWS)/ GMM approximation/ on-line garbage model/ Feature Similarity of Adjacent Frames(FSAF)/ Hidden Markov Model(HMM)分类
信息技术与安全科学引用本文复制引用
袁浩,李海洋,郑铁然,韩纪庆..基于相邻帧特征相似性的快速关键词检出方法[J].计算机工程,2012,38(7):287-289,3.基金项目
国家“973”计划基金资助项目(2007CB311100) （2007CB311100）
