scholarly journals Automatic Speech Recognition System: A Review

2016 ◽  
Vol 151 (1) ◽  
pp. 24-28
Author(s):  
Neerja Arora
2016 ◽  
Vol 4 (2) ◽  
pp. 152-155
Author(s):  
Moirangthem Tiken Singh ◽  

This paper presents a report on an Automatic Speech Recognition System (ASR) for different Indian language under different accent. The paper is a comparative study of the performance of system developed which uses Hidden Markov Model (HMM) as the classifier and Mel-Frequency Cepstral Coefficients (MFCC) as speech features.


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