INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Speech recognition is the process of automatically recognizing a particular word from a particular speaker based on the information contained in each voice wave. This document reviews inventions and technological advances in the field of speech recognition and also focuses on the various steps required to identify speaker using MATLAB programming. In this document, we first apply Spectral Subtraction Method to perform speech enhancement and noise removal. This background noise is successfully removed by the Wiener Filter application. In addition, the technique adopted here develops code using MATLAB programming. In this article, nine audio samples were recorded through a microphone and the system was trained according to the recoded audio samples. The MFCC function of the voice sample was calculated and the words were distinguished according to according to the energy associated with each sampled word and recognized using GMM.
Keywords:
Wiener filter, Speech Recognition, Speech Enhancement, MFCC, GMM
Cite Article:
"A MATLAB Based Improved Speech Enhancement and Recognition Using Spectral Subtraction Method, MFCC and GMM", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 7, page no.664 - 668, July-2022, Available :http://www.ijsdr.org/papers/IJSDR2206109.pdf
Downloads:
000338719
Publication Details:
Published Paper ID: IJSDR2206109
Registration ID:200771
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 664 - 668
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn