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Designing a Real Time Speech Recognition System using MATLAB

Published on February 2017 by Neha Sharma, Shipra Sardana
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National Conference on Latest Initiatives and Innovations in Communication and Electronics
Foundation of Computer Science USA
IICE2016 - Number 2
February 2017
Authors: Neha Sharma, Shipra Sardana

Neha Sharma, Shipra Sardana . Designing a Real Time Speech Recognition System using MATLAB. National Conference on Latest Initiatives and Innovations in Communication and Electronics. IICE2016, 2 (February 2017), 1-5.

@article{
author = { Neha Sharma, Shipra Sardana },
title = { Designing a Real Time Speech Recognition System using MATLAB },
journal = { National Conference on Latest Initiatives and Innovations in Communication and Electronics },
issue_date = { February 2017 },
volume = { IICE2016 },
number = { 2 },
month = { February },
year = { 2017 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/iice2016/number2/26954-1677/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Latest Initiatives and Innovations in Communication and Electronics
%A Neha Sharma
%A Shipra Sardana
%T Designing a Real Time Speech Recognition System using MATLAB
%J National Conference on Latest Initiatives and Innovations in Communication and Electronics
%@ 0975-8887
%V IICE2016
%N 2
%P 1-5
%D 2017
%I International Journal of Computer Applications
Abstract

Real time speech to text conversion system introduces conversion of the uttered words instantly after the utterance. This paper introduces a unique way of interaction of human and a computer through the specific way ofnatural language processing which is basically a speech recognition system. In this paper nine voice samples were recorded through a microphone and the system was trained according to the recoded voice samples. MFCC features of speech sample were calculated and words were distinguished according to the energies associated with each sampled word. This system provides a high accuracy in case of text conversion.

References
  1. J. D. Tardelli, C. M. Walter, "Speech waveform analysis and recognition process based on non-Euclidean error minimization and matrix array processing techniques". IEEE ICASSP, pp. 1237-1240, 1986.
  2. Takao Suzuki, Yasuo Shoji, "A new speech processing scheme for ATM switching systems". IEEE, Digital Communications Laboratories, Oki Electric Industry Co. Ltd. , Japan, pp. 1515-1519, 1989.
  3. Siva PrasadNandyala, Dr. T. Kishore Kumar,"Real Time Isolated Word Speech Recognition System for Human Computer Interaction"InternationalJournal of Computer ApplicationsVolume- 12, pp. 0975 – 8887, November 2010.
  4. Jeong, S. , Hahn, M. : "Speech quality and recognition rate improvement in car noiseenvironments", Electron. Lett. ,37, (12),pp. 800–802,2001.
  5. Ma, J. , Deng, L. : "Efficient decoding strategies for conversational speech recognition using a constrained nonlinear state-space model", IEEE Trans. Speech Audio Process. , 11, (6), pp. 590–602, 2003.
  6. RohitRanchal, , Teresa Taber-Doughty, YirenGuo, Keith Bain,Heather Martin, J. Paul Robinso, and Bradley S. Duerstock, "Using Speech Recognition for Real-Time Captioning and Lecture Transcription in the Classroom", IEEE Transactions On Learning Technologies, Vol. 6, No. 4, October-December 2013.
  7. Daryl Ning, "Developing an isolated word recognition system in MATLAB", The Mathworks, Inc. 2009.
  8. Deepak Baby, Tuomas Virtanen, Jort F. Gemmeke, Hugo van hamme, "Coupled dictionaries for Exampler- Based Speech Enhancement and Automatic Speech Recognition", IEEE/ACM Tans. On Audio, speech and Language processing, vol. 23, No. 11, 2015.
  9. Naoki Hirayama, Koichiro Yoshino, KatsutoshiItoyama, Shinsuke Mori, and Hiroshi G. Okuno, "Automatic Speech Recognition for Mixed Dialect Utterances by Mixing Dialect Language Models", IEEE/ACM transactions on Audio, Speech, And Language Processing, vol. 23, no. 2, february 2015
  10. Shaila D. Apte, "speech and audio processing", Wiley India, 2013
Index Terms

Computer Science
Information Sciences

Keywords

Speech Recognition System