Birdcall retrieval from environmental acoustic recordings using image processing
Data(s) |
2015
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
IEEE |
Relação |
http://eprints.qut.edu.au/86716/3/86716.pdf 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. |
Direitos |
Copyright 2015 IEEE 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. |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #050202 Conservation and Biodiversity #080106 Image Processing #080109 Pattern Recognition and Data Mining #birdcall retrieval #spectral ridge detection #spectrogram downscaling #environmental acoustic recordings |
Tipo |
Conference Paper |