Birdcall retrieval from environmental acoustic recordings using image processing

Dong, Xueyan, Eichinski, Philip, Towsey, Michael, Zhang, Jinglan, & Roe, Paul (2015) Birdcall retrieval from environmental acoustic recordings using image processing. In International Conference on Digital Image Computing: Techniques and Applications (DICTA), 23-25 November 2015, Adelaide Town Hall, Adelaide, South Australia, Australia.

Abstract

Acoustic recordings of the environment provide an effective means to monitor bird species diversity. To facilitate exploration of acoustic recordings, we describe a content-based birdcall retrieval algorithm. A query birdcall is a region of spectrogram bounded by frequency and time. Retrieval depends on a similarity measure derived from the orientation and distribution of spectral ridges. The spectral ridge detection method caters for a broad range of birdcall structures. In this paper, we extend previous work by incorporating a spectrogram scaling step in order to improve the detection of spectral ridges. Compared to an existing approach based on MFCC features, our feature representation achieves better retrieval performance for multiple bird species in noisy recordings.

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ID Code: 86716
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: birdcall retrieval, spectral ridge detection, spectrogram downscaling, environmental acoustic recordings
Subjects: Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ENVIRONMENTAL SCIENCE AND MANAGEMENT (050200) > Conservation and Biodiversity (050202)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 IEEE
Copyright Statement: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Deposited On: 03 Sep 2015 23:30
Last Modified: 23 Feb 2016 12:06

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