UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 9
September-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2309205


Registration ID:
524727

Page Number

c32-c36

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Title

Study of speech recognition based on Different Deep Learning techniques: A Review

Abstract

Speech is the most effective technique for people to transmit their thoughts and feelings across a multitude of languages. Every language has a particular set of speech characteristics. The speed and accent differ from person to person even while speaking the same language. This might make it hard for certain people to understand the point being made. Long speeches may be difficult to follow if the speaker has poor pronunciation, speaks too quickly, or uses other techniques to lose the audience's attention. Speech recognition is an interdisciplinary topic of computational linguistics that enables the creation of technology that recognises and transcribes sound into text. The most relevant information is collected from a text source and appropriately summarized via text summarizing

Key Words

Speech recognition, noisy speech recognition, deep learning

Cite This Article

"Study of speech recognition based on Different Deep Learning techniques: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.c32-c36, September-2023, Available :http://www.jetir.org/papers/JETIR2309205.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Study of speech recognition based on Different Deep Learning techniques: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppc32-c36, September-2023, Available at : http://www.jetir.org/papers/JETIR2309205.pdf

Publication Details

Published Paper ID: JETIR2309205
Registration ID: 524727
Published In: Volume 10 | Issue 9 | Year September-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.36074
Page No: c32-c36
Country: Bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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