Description of training procedure for AlfaNum continuous speech recognition system

被引：0
|
作者：
Jakovljevic, N [1 ]
Pekar, D [1 ]
机构：
[1] Univ Novi Sad, Fac Engn, Novi Sad 21000, Serbia Monteneg
来源：
Eurocon 2005: The International Conference on Computer as a Tool, Vol 1 and 2 , Proceedings | 2005年
关键词：
automatic speech recognition; hidden Markov models; maximum likelihood train algorithm and tying procedure;
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：
This paper presents training procedure for our continuous speech recognition system in Serbian, based on hidden Markov models. In this paper, we focus on solutions of the problem of insufficient training data, and improvements obtained by maximum likelihood train algorithm.
引用
收藏
页码：1646 / 1649
页数：4
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