DocumentCode :
3776946
Title :
Automatic speech recognition based Odia system
Author :
Biswajit Karan;Jayaprakash Sahoo;P. K. Sahu
Author_Institution :
School of Electrical Science, IIT Bhubaneswar
fYear :
2015
Firstpage :
353
Lastpage :
356
Abstract :
In this paper, we presents a scheme of implementation of automatic speech recognition system using Odia language. The proposed system is realized using Kaldi toolkit for automatic recognition of district models of the state of Odisha. We investigate the monophone and triphone model for Odia speech recognition. Acoustic modeling of Odia speech recognition was performed using HMM and GMM. A significant reduction in word error rate (WER) was observed using the triphone model. We report the preliminary speech recognition results using Kaldi speech toolkit.
Keywords :
"Hidden Markov models","Speech recognition","Speech","Acoustics","Error analysis","Feature extraction","Context modeling"
Publisher :
ieee
Conference_Titel :
Microwave, Optical and Communication Engineering (ICMOCE), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICMOCE.2015.7489765
Filename :
7489765
Link To Document :
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