Review and Analysis of Speech Recognition Techniques for Mobile Devices
Gulbakshee J. Dharmale1 , Dipti D. Patil2 , Vilas M. Thakare3
Section:Review Paper, Product Type: Journal Paper
Volume-7 ,
Issue-1 , Page no. 795-800, Jan-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i1.795800
Online published on Jan 31, 2019
Copyright © Gulbakshee J. Dharmale, Dipti D. Patil, Vilas M. Thakare . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Gulbakshee J. Dharmale, Dipti D. Patil, Vilas M. Thakare, “Review and Analysis of Speech Recognition Techniques for Mobile Devices,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.795-800, 2019.
MLA Style Citation: Gulbakshee J. Dharmale, Dipti D. Patil, Vilas M. Thakare "Review and Analysis of Speech Recognition Techniques for Mobile Devices." International Journal of Computer Sciences and Engineering 7.1 (2019): 795-800.
APA Style Citation: Gulbakshee J. Dharmale, Dipti D. Patil, Vilas M. Thakare, (2019). Review and Analysis of Speech Recognition Techniques for Mobile Devices. International Journal of Computer Sciences and Engineering, 7(1), 795-800.
BibTex Style Citation:
@article{Dharmale_2019,
author = {Gulbakshee J. Dharmale, Dipti D. Patil, Vilas M. Thakare},
title = {Review and Analysis of Speech Recognition Techniques for Mobile Devices},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {795-800},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3586},
doi = {https://doi.org/10.26438/ijcse/v7i1.795800}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.795800}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3586
TI - Review and Analysis of Speech Recognition Techniques for Mobile Devices
T2 - International Journal of Computer Sciences and Engineering
AU - Gulbakshee J. Dharmale, Dipti D. Patil, Vilas M. Thakare
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 795-800
IS - 1
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
586 | 322 downloads | 200 downloads |
Abstract
The most widely correspondence modes for individuals is speech. People use speech as another mode to convey information without lifting a finger with the help of speech recognition applications. This paper presents a study about execution of speech recognition debilitates inside considering resounding and even low levels of including clamor. Speech recognition interfaces in local lingo which connects the people to use the advancement to more imperative degree without the data by operating with a PC. An extraordinary measure of research has done in different areas of speech recognition and its applications since three decades. A specific overlook on speech recognition has been done in this paper, introducing the design, databases, speech parameterization, techniques, attributes, apparatuses, applications and issues. Also analyzed performance with respective accuracy for different available techniques from various research work
Key-Words / Index Term
Automatic Speech Recognition (ASR), Mel Frequency Cepstral Coefficient (MFCC), Hidden Markav model (HMM), Gaussian Mixture Model (GMM)
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