Evaluation of the Processing Times in Anuran Sound Classification
Joint Authors
León, Carlos
Personal, E.
Luque, Amalia
Gómez-Bellido, Jesús
Carrasco, Alejandro
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-27
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
Nowadays, sound classification applications are becoming more common in the Wireless Acoustic Sensor Networks (WASN) scope.
However, these architectures require special considerations, like looking for a balance between transmitted data and local processing.
This article proposes an audio processing and classification scheme, focusing on WASN architectures.
This article also analyzes in detail the time efficiency of the different stages involved (from acquisition to classification).
This study provides useful information which makes it possible to choose the best tradeoff between processing time and classification result accuracy.
This approach has been evaluated on a wide set of anurans songs registered in their own habitat.
Among the conclusions of this work, there is an emphasis on the disparity in the classification and feature extraction and construction times for the different studied techniques, all of them notably depending on the overall feature number used.
American Psychological Association (APA)
Luque, Amalia& Gómez-Bellido, Jesús& Carrasco, Alejandro& Personal, E.& León, Carlos. 2017. Evaluation of the Processing Times in Anuran Sound Classification. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1206212
Modern Language Association (MLA)
Luque, Amalia…[et al.]. Evaluation of the Processing Times in Anuran Sound Classification. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1206212
American Medical Association (AMA)
Luque, Amalia& Gómez-Bellido, Jesús& Carrasco, Alejandro& Personal, E.& León, Carlos. Evaluation of the Processing Times in Anuran Sound Classification. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1206212
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1206212