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Audio Scenarios Detection Technique

by Ajay Kadam, Ramesh M. Kagalkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 16
Year of Publication: 2015
Authors: Ajay Kadam, Ramesh M. Kagalkar
10.5120/21314-4297

Ajay Kadam, Ramesh M. Kagalkar . Audio Scenarios Detection Technique. International Journal of Computer Applications. 120, 16 ( June 2015), 33-37. DOI=10.5120/21314-4297

@article{ 10.5120/21314-4297,
author = { Ajay Kadam, Ramesh M. Kagalkar },
title = { Audio Scenarios Detection Technique },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 16 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 33-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number16/21314-4297/ },
doi = { 10.5120/21314-4297 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:24.980698+05:30
%A Ajay Kadam
%A Ramesh M. Kagalkar
%T Audio Scenarios Detection Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 16
%P 33-37
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The proposed research objective is to add to a framework for programmed recognition of sound. In this framework the real errand is to distinguish any information sound stream investigate it & anticipate the likelihood of diverse sounds show up in it. To create and industrially conveyed an adaptable sound web crawler a flexible sound search engine. The calculation is clamor and contortion safe, computationally productive, and hugely adaptable, equipped for rapidly recognizing a short portion of sound stream caught through a phone microphone in the presence of frontal area voices and other predominant commotion, and through voice codec pressure, out of a database of over accessible tracks. The algorithm utilizes a combinatorial hashed time-recurrence group of stars examination of the sound, yielding ordinary properties, for example, transparency, in which numerous tracks combined may each be distinguished.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Finger printing Pure tone White noise

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