Noise-robust algorithm of speech features extraction for automatic speech recognition system

2016 ◽  
Author(s):  
A. N. Yakhnev ◽  
A. S. Pisarev
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Recognition System ◽  
Features Extraction ◽  
Speech Recognition System ◽  
Automatic Speech Recognition System ◽  
Robust Algorithm ◽  
Speech Features ◽  
Noise Robust

Automatic Speech Recognition System: A Survey Report

2016 ◽  
Vol 4 (2) ◽  
pp. 152-155
Author(s):  
Moirangthem Tiken Singh ◽  
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Recognition System ◽  
Speech Recognition System ◽  
Mel Frequency Cepstral Coefficients ◽  
Automatic Speech Recognition System ◽  
Indian Language ◽  
System A ◽  
Survey Report ◽  
Speech Features

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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