A modified TESPAR algorithm for wildlife sound classification

Author

Ghiurcau, Marius Vasile ; Rusu, Corneliu ; Bilcu, Radu Ciprian

Author_Institution

Fac. of Electron., Telecom, & Inf. Tech., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania

fYear

2010

fDate

May 30 2010-June 2 2010

Firstpage

2370

Lastpage

2373

Abstract

The application of sound classification for detecting intruders into protected wildlife regions has been addressed recently. For such an application, simple, yet robust, methods must be utilized since these systems usually are required to work in difficult conditions. The Time Encoded Signal Processing and Recognition (TESPAR) algorithm represents a good candidate due to its simplicity. In this paper we propose a modified TESPAR algorithm for wildlife sound classification. Comparative results obtained with the TESPAR algorithm and with the new modified version are shown. The new method has been tested on a database consisting of 300 sound recordings and several types of noise have been considered to simulate different possible environments.

Keywords

acoustic signal detection; encoding; TESPAR algorithm; time encoded signal processing and recognition; wildlife sound classification; Algorithm design and analysis; Birds; Multimodal sensors; Protection; Remote monitoring; Signal processing algorithms; Surveillance; Telecommunications; Vehicles; Wildlife;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on

Conference_Location

Paris

Print_ISBN

978-1-4244-5308-5

Electronic_ISBN

978-1-4244-5309-2

Type

conf

DOI

10.1109/ISCAS.2010.5537179

Filename

5537179