SPEECH RECOGNITION USING HMM BASED ON FUSION OF VISUAL AND AUDITORY INFORMATION

被引：0

作者：

SHINTANI, A

OGIHARA, A

YAMAGUCHI, Y

HAYASHI, Y

FUKUNAGA, K

机构：

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 1994年 / E77A卷 / 11期

关键词：

SPEECH RECOGNITION; FUSION OF VISUAL AND AUDITORY; SENSOR FUSION; HIDDEN MARKOV MODEL;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose two methods to fuse auditory information and visual information for accurate speech recognition. The first method fuses two kinds of information by using linear combination after calculating two kinds of probabilities by HMM for each word. The second method fuses two kinds of information by using the histogram which expresses the correlation of them. We have performed experiments comparing the proposed methods with the conventional method and confirmed the validity of the proposed methods.

引用

页码：1875 / 1878

页数：4