UGC Approved Journal no 63975(19)

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

Volume 10 Issue 8
August-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2308432


Registration ID:
523514

Page Number

e272-e279

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Title

Urban Sound Classification using Deep Learning

Abstract

In life, sound plays a very vital role. Just like sight, humans perceive sound and gain crucial information from it. Even without sight, sounds help us to understand what is happening around us. Today, many security systems like cameras or trackers are based on either sight or motion. Even for the disabled, visual aid is provided, and hence the importance of sound here is neglected. Environmental sounds when analyzed and identified, give us an idea about the presence of things around us. Urban environmental sounds are so unstructured in nature that it is not easy to classify them, but they contain patterns of temporal spectrum that assist in analysis and classification. Using these techniques, a machine can learn to identify sounds and accurately identify them. Hence, we can also use the trained system for surveillance in cameras where the sight is out of range, to aid people with difficulty in hearing and many other applications. The aim of this research is to identify and classify a given environmental sound by using a CNN for classification. We feed an environmental sound audio file to the system after converting it to a spectrogram (visual representation) of the sound and predict the output of the type of sound fed in. Since spectrograms are nothing but images, we use CNN as it works best with image classification and computer vision.

Key Words

Deep Learning, Audio Processing, Spectrogram, CNN.

Cite This Article

"Urban Sound Classification using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.e272-e279, August-2023, Available :http://www.jetir.org/papers/JETIR2308432.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

"Urban Sound Classification using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppe272-e279, August-2023, Available at : http://www.jetir.org/papers/JETIR2308432.pdf

Publication Details

Published Paper ID: JETIR2308432
Registration ID: 523514
Published In: Volume 10 | Issue 8 | Year August-2023
DOI (Digital Object Identifier):
Page No: e272-e279
Country: Pune, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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