Error Minimization in Phoneme based Automated Speech Recognition for Similar Sounding Phonemes

被引：0
|
作者：
Gangaputra, Karan [1 ]
机构：
[1] Natl Inst Technol, Surathkal 570025, Karnataka, India
来源：
INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY AND SYSTEM DESIGN 2011 | 2012年 / 30卷
关键词：
Automated Speech recognition; Phoneme based correction; Error minimization;
D O I：
10.1016/j.proeng.2012.01.878
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The technology of ASR (Automated Speech Recognition) has been quite successful with the use of Hidden Markov Model (HHM) with the aid of probabilistic and the best path methods. The words with limited vocabulary content can easily be modeled and trained. The modules with a large dictionary has to be modeled with context independent phones joining together to form a word. The major problem lies in recognizing the word with similar sounding phonemes. This paper aims in minimizing the error with similar sounding phonemes by using the viterbi algorithm for each similar syllable in the backward direction. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ICCTSD 2011
引用
收藏
页码：402 / 409
页数：8
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