Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Temporal attention based animal sound classification

Authors
Kim, JungminLee, YoungloKim, DonghyeonKo, Hanseok
Issue Date
2020
Publisher
ACOUSTICAL SOC KOREA
Keywords
Audio event classification; Convolution Neural Network (CNN); Self-attention; Gated Linear Unit (GLU)
Citation
JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA, v.39, no.5, pp.406 - 413
Indexed
SCOPUS
KCI
Journal Title
JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA
Volume
39
Number
5
Start Page
406
End Page
413
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/59024
DOI
10.7776/ASK.2020.39.5.406
ISSN
1225-4428
Abstract
In this paper, to improve the classification accuracy of bird and amphibian acoustic sound, we utilize GLU (Gated Linear Unit) and Self-attention that encourages the network to extract important features from data and discriminate relevant important frames from all the input sequences for further performance improvement. To utilize acoustic data, we convert 1-D acoustic data to a log-Mel spectrogram. Subsequently, undesirable component such as background noise in the log-Mel spectrogram is reduced by GLU. Then, we employ the proposed temporal self-attention to improve classification accuracy. The data consist of 6-species of birds, 8-species of amphibians including endangered species in the natural environment. As a result, our proposed method is shown to achieve an accuracy of 91 % with bird data and 93 % with amphibian data. Overall, an improvement of about 6 % similar to 7 % accuracy in performance is achieved compared to the existing algorithms.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Ko, Han seok photo

Ko, Han seok
공과대학 (전기전자공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE