A blind source separation approach for humpback whale song separation
A blind source separation approach for humpback whale song separation
Many marine mammal species are highly social and are frequently encountered in groups or aggregations. When conducting passive acoustic monitoring in such circumstances, recordings commonly contain vocalizations of multiple individuals which overlap in time and frequency. This paper considers the use of blind source separation as a method for processing these recordings to separate the calls of individuals. The example problem considered here is that of the songs of humpback whales. The high levels of noise and long impulse responses can make source separation in underwater contexts a challenging proposition. The approach present here is based on time-frequency masking, allied to a noise reduction process. The technique is assessed using simulated and measured data sets, and the results demonstrate the effectiveness of the method for separating humpback whale songs.
2705-2714
White, Paul
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Zhang, Zhenbin
71a39f34-25e9-427e-81eb-766efa6a7e84
18 April 2017
White, Paul
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Zhang, Zhenbin
71a39f34-25e9-427e-81eb-766efa6a7e84
White, Paul and Zhang, Zhenbin
(2017)
A blind source separation approach for humpback whale song separation.
Journal of the Acoustical Society of America, 141 (4), .
(doi:10.1121/1.4980856).
Abstract
Many marine mammal species are highly social and are frequently encountered in groups or aggregations. When conducting passive acoustic monitoring in such circumstances, recordings commonly contain vocalizations of multiple individuals which overlap in time and frequency. This paper considers the use of blind source separation as a method for processing these recordings to separate the calls of individuals. The example problem considered here is that of the songs of humpback whales. The high levels of noise and long impulse responses can make source separation in underwater contexts a challenging proposition. The approach present here is based on time-frequency masking, allied to a noise reduction process. The technique is assessed using simulated and measured data sets, and the results demonstrate the effectiveness of the method for separating humpback whale songs.
Text
JASA-01084
- Accepted Manuscript
More information
Accepted/In Press date: 3 April 2017
Published date: 18 April 2017
Organisations:
Inst. Sound & Vibration Research, Signal Processing & Control Grp
Identifiers
Local EPrints ID: 407729
URI: http://eprints.soton.ac.uk/id/eprint/407729
ISSN: 0001-4966
PURE UUID: f7b159e6-7b93-4016-b72f-7c7a312c1bfc
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Date deposited: 25 Apr 2017 01:02
Last modified: 16 Mar 2024 05:14
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Author:
Zhenbin Zhang
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