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A blind source separation approach for humpback whale song separation

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.
0001-4966
2705-2714
White, Paul
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Zhang, Zhenbin
71a39f34-25e9-427e-81eb-766efa6a7e84
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), 2705-2714. (doi:10.1121/1.4980856).

Record type: Article

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.

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JASA-01084 - Accepted Manuscript
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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
ORCID for Paul White: ORCID iD orcid.org/0000-0002-4787-8713

Catalogue record

Date deposited: 25 Apr 2017 01:02
Last modified: 17 Dec 2019 06:14

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