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Sensors 2016, 16(5), 717;

Evaluation of MPEG-7-Based Audio Descriptors for Animal Voice Recognition over Wireless Acoustic Sensor Networks

Department of Electronic Technology, University of Seville, Seville 41011, Spain
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Received: 7 March 2016 / Revised: 11 May 2016 / Accepted: 12 May 2016 / Published: 18 May 2016
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2015)
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Environmental audio monitoring is a huge area of interest for biologists all over the world. This is why some audio monitoring system have been proposed in the literature, which can be classified into two different approaches: acquirement and compression of all audio patterns in order to send them as raw data to a main server; or specific recognition systems based on audio patterns. The first approach presents the drawback of a high amount of information to be stored in a main server. Moreover, this information requires a considerable amount of effort to be analyzed. The second approach has the drawback of its lack of scalability when new patterns need to be detected. To overcome these limitations, this paper proposes an environmental Wireless Acoustic Sensor Network architecture focused on use of generic descriptors based on an MPEG-7 standard. These descriptors demonstrate it to be suitable to be used in the recognition of different patterns, allowing a high scalability. The proposed parameters have been tested to recognize different behaviors of two anuran species that live in Spanish natural parks; the Epidalea calamita and the Alytes obstetricans toads, demonstrating to have a high classification performance. View Full-Text
Keywords: sensor network; habitat monitoring; audio monitoring sensor network; habitat monitoring; audio monitoring

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Luque, J.; Larios, D.F.; Personal, E.; Barbancho, J.; León, C. Evaluation of MPEG-7-Based Audio Descriptors for Animal Voice Recognition over Wireless Acoustic Sensor Networks. Sensors 2016, 16, 717.

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