Research on continuous speech recognition with small vocabulary based on biomimetic pattern recognition

被引：0
|
作者：
Wang, Shou-Jue [1 ,2 ]
Shen, Sun-Yuan [2 ]
Cao, Wen-Ming [2 ]
机构：
[1] Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
[2] Institute of Intelligent Information System, Zhejiang University of Technology, Hangzhou 310014, China
来源：
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2006年 / 27卷 / SUPPL.期
关键词：
Algorithms - Bionics - Database systems - Feature extraction - Neural networks - Pattern recognition;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Based on biomimetic pattern recognition theory, a novel speaker-independent continuous speech keyword-spotting algorithm is proposed. Without endpoint detection and division, a dynamic search is directly given to the feature-extracted continuous speech, and the minimum distance curve between continuous speech samples and every keyword-training net is got. Through investigating the vale-value and the numbers of the vales of the curve, the number of the keywords can be known. From tests of small vocabulary continuous speech with various speaking rate, better recognition results can be got, which proves the validity of the algorithm.
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