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A Robust Environmental Sound Recognition System using Frequency Domain Features
by
T. Sivaprakasam,
P. Dhanalakshmi
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 80 - Number 9 |
| Year of Publication: 2013 |
| Authors: T. Sivaprakasam, P. Dhanalakshmi |
10.5120/13887-1800
|
T. Sivaprakasam, P. Dhanalakshmi . A Robust Environmental Sound Recognition System using Frequency Domain Features. International Journal of Computer Applications. 80, 9 ( October 2013), 5-10. DOI=10.5120/13887-1800
@article{
10.5120/13887-1800,
author = {
T. Sivaprakasam,
P. Dhanalakshmi
},
title = { A Robust Environmental Sound Recognition System using Frequency Domain Features },
journal = {
International Journal of Computer Applications
},
issue_date = { October 2013 },
volume = { 80 },
number = { 9 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = {
5-10
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume80/number9/13887-1800/
},
doi = { 10.5120/13887-1800 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:54:05.003103+05:30
%A T. Sivaprakasam
%A P. Dhanalakshmi
%T A Robust Environmental Sound Recognition System using Frequency Domain Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 80
%N 9
%P 5-10
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In ubiquitous environments, analysis and classification of sound plays a critical role in various acoustic-based recognition systems. This work aims to contribute towards building an automatic sound recognition system that can understand the surrounding environment by the audio information. In this paper, an acoustic signal based context awareness system is proposed for detecting sound events in five different real-world environment. This approach is based on Back Propagation Neural Network (BPNN) classifier using a new feature set from frequency-domain features. The experiments on various categories illustrate that the results of recognition are significant and effective.
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Index Terms
Computer Science
Information Sciences
Keywords