Simplified Scoring Methods in HMM Based Speech Recognition

被引：2
|
作者：
Paramonov, Pavel [1 ]
Sutula, Nadezhda [1 ]
机构：
[1] Natl Res Univ Moscow Power Engn Inst, Inst Automat & Comp Engn, Moscow, Russia
来源：
2014 INTERNATIONAL CONFERENCE ON SOFT COMPUTING & MACHINE INTELLIGENCE ISCMI 2014 | 2014年
关键词：
Hidden Markov Models; speech recognition; forward algorithm; isolated words recognition;
D O I：
10.1109/ISCMI.2014.32
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we present two ways to simplify scoring in Hidden Markov Models (HMM) based speech recognition in order to reduce it's computational complexity. We tested proposed approaches on Russian words recognition and compared results with those that gave recognition using conventional forward algorithm.
引用
收藏
页码：154 / 156
页数：3
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