NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
An Automated Acoustic System to Monitor and Classify Birds
Author(s)
C. Kwan, K C. Ho, G. Mei, Y Li, Z. Ren, R. Xu, Y. Zhang, R. Lao, M. Stevenson, Vincent M. Stanford, C. Rochet
Abstract
This paper presents a novel bird monitoring and recognition system in noisy environments. The project objective is to avoid bird strikes to aircraft. First, a cost effective microphone dish concept (microphone array with many concentric rings) is presented that can provide directional and accurate acquisition of bird sounds and can simultaneously pick up bird sounds from different directions. Second, Direction of Arrival (DOA) and beamforming algorithms have been developed for the circular array. Third, an efficient recognition algorithm is proposed which uses Gaussian Mixture Models (GMM). The overall system is suitable for monitoring and recognition for a large number of birds. Fourth, a hardware prototype has been built and initial experiments demonstrated that the array can acquire and classify birds accurately.
Citation
Eurasip Journal on Applied Signal Processing
Pub Type
Journals
Keywords
Circular microphone array, bird classification, beamforming, DOA estimation
Citation
Kwan, C.
, Ho, K.
, Mei, G.
, Li, Y.
, Ren, Z.
, Xu, R.
, Zhang, Y.
, Lao, R.
, Stevenson, M.
, Stanford, V.
and Rochet, C.
(1970),
An Automated Acoustic System to Monitor and Classify Birds, Eurasip Journal on Applied Signal Processing
(Accessed October 12, 2025)