International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,May 2016,

Topic : A Study of Hybrid ANN-HMM Model for ASR

Authors:Ashish Shendre || Dr. Sanjay Nalbalwar

Abstract:ASR (Automatic Speech Recognition) is most important for human computer interaction. In spite of tremendous advance in the ASR technique it is still far-away from human level performance. HMM (Hidden Markov model) based ASR system has made advancement but faced lots of limitation in practical problems. ANN (Artificial Neural Network) was used to replace HMM but the attempt was not that successful when trying to model high level dependency. Then attempt was made to combine this two to get the better performance. ANN-HMM hybrid model was introduced to combine the benefit of both and to increase the overall performance of ASR system. Large number of different hybrid architecture has proposed in the literature. Objective of this review paper is to focus on ANN-HMM. Most of the part of the paper is focused on describing the architecture of HMM, Neural Networkand how to use ANN for improvement of speech recognition..

Keywords: Artificial Neural Nerwork, Hidden Morkov Model, Automatic Speech Recongnition

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DOI: 01.1617/vol3iss5pid321


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Editor-in-Chief

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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