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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 -

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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)

References

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