Poster abstract: Voxnet acoustic array for multiple bird source separation by beamforming using measured data

Author

Shengsheng Cai ; Collier, Terence ; Girod, Lewis ; Hudson, Ralph E. ; Kung Yao ; Taylor, Charles E. ; Ming Bao ; Zhi Wang

Author_Institution

Zhejiang Univ., Hangzhou, China

fYear

2013

fDate

8-11 April 2013

Firstpage

355

Lastpage

356

Abstract

In this paper, we present simulation and experimental studies of multiple bird source separation based on the Voxnet acoustic array node. The Approximate Maximum Likelihood (AML) method is used to estimate blindly the direction-of-arrivals (DOAs) of the sources to generate the steering vectors in order to separate the sources via beamforming. Simulation and measured data confirmed the proper operations of the AML beamforming algorithm and the Voxnet hardware node.

Keywords

array signal processing; blind source separation; direction-of-arrival estimation; maximum likelihood estimation; sensor arrays; wireless sensor networks; zoology; AML beamforming algorithm; Voxnet acoustic array node; Voxnet hardware node; approximate maximum likelihood method; direction-of-arrival estimation; multiple bird source separation; Acoustics; Array signal processing; Arrays; Birds; Direction-of-arrival estimation; Microphones; Source separation; AML; Source separation; Voxnet; beamforming;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Processing in Sensor Networks (IPSN), 2013 ACM/IEEE International Conference on

Conference_Location

Philadelphia, PA

Type

conf

DOI

10.1109/IPSN.2013.6917595

Filename

6917595