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A Review of Automated Bioacoustics and General Acoustics Classification Research

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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A Review of Automated Bioacoustics and General Acoustics Classification Research. / Mutanu, Leah; Gohil, Jeet; Gupta, Khushi et al.
In: Sensors (Basel), Vol. 22, No. 21, 8361, 31.10.2022.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Mutanu, L, Gohil, J, Gupta, K, Wagio, P, Kotonya, G & Di Pietrantonio, F (ed.) 2022, 'A Review of Automated Bioacoustics and General Acoustics Classification Research', Sensors (Basel), vol. 22, no. 21, 8361. https://doi.org/10.3390/s22218361

APA

Mutanu, L., Gohil, J., Gupta, K., Wagio, P., Kotonya, G., & Di Pietrantonio, F. (Ed.) (2022). A Review of Automated Bioacoustics and General Acoustics Classification Research. Sensors (Basel), 22(21), Article 8361. https://doi.org/10.3390/s22218361

Vancouver

Mutanu L, Gohil J, Gupta K, Wagio P, Kotonya G, Di Pietrantonio F, (ed.). A Review of Automated Bioacoustics and General Acoustics Classification Research. Sensors (Basel). 2022 Oct 31;22(21):8361. doi: 10.3390/s22218361

Author

Mutanu, Leah ; Gohil, Jeet ; Gupta, Khushi et al. / A Review of Automated Bioacoustics and General Acoustics Classification Research. In: Sensors (Basel). 2022 ; Vol. 22, No. 21.

Bibtex

@article{a439ab632a36456b9e0e2bb0e6e86f53,
title = "A Review of Automated Bioacoustics and General Acoustics Classification Research",
abstract = "Automated bioacoustics classification has received increasing attention from the research community in recent years due its cross-disciplinary nature and its diverse application. Applications in bioacoustics classification range from smart acoustic sensor networks that investigate the effects of acoustic vocalizations on species to context-aware edge devices that anticipate changes in their environment adapt their sensing and processing accordingly. The research described here is an in-depth survey of the current state of bioacoustics classification and monitoring. The survey examines bioacoustics classification alongside general acoustics to provide a representative picture of the research landscape. The survey reviewed 124 studies spanning eight years of research. The survey identifies the key application areas in bioacoustics research and the techniques used in audio transformation and feature extraction. The survey also examines the classification algorithms used in bioacoustics systems. Lastly, the survey examines current challenges, possible opportunities, and future directions in bioacoustics.",
keywords = "Article, sound classification, bioacoustics, survey, review, acoustic detection, general acoustics",
author = "Leah Mutanu and Jeet Gohil and Khushi Gupta and Perpetua Wagio and Gerald Kotonya and {Di Pietrantonio}, Fabio",
year = "2022",
month = oct,
day = "31",
doi = "10.3390/s22218361",
language = "English",
volume = "22",
journal = "Sensors (Basel)",
issn = "1424-8220",
publisher = "NLM (Medline)",
number = "21",

}

RIS

TY - JOUR

T1 - A Review of Automated Bioacoustics and General Acoustics Classification Research

AU - Mutanu, Leah

AU - Gohil, Jeet

AU - Gupta, Khushi

AU - Wagio, Perpetua

AU - Kotonya, Gerald

A2 - Di Pietrantonio, Fabio

PY - 2022/10/31

Y1 - 2022/10/31

N2 - Automated bioacoustics classification has received increasing attention from the research community in recent years due its cross-disciplinary nature and its diverse application. Applications in bioacoustics classification range from smart acoustic sensor networks that investigate the effects of acoustic vocalizations on species to context-aware edge devices that anticipate changes in their environment adapt their sensing and processing accordingly. The research described here is an in-depth survey of the current state of bioacoustics classification and monitoring. The survey examines bioacoustics classification alongside general acoustics to provide a representative picture of the research landscape. The survey reviewed 124 studies spanning eight years of research. The survey identifies the key application areas in bioacoustics research and the techniques used in audio transformation and feature extraction. The survey also examines the classification algorithms used in bioacoustics systems. Lastly, the survey examines current challenges, possible opportunities, and future directions in bioacoustics.

AB - Automated bioacoustics classification has received increasing attention from the research community in recent years due its cross-disciplinary nature and its diverse application. Applications in bioacoustics classification range from smart acoustic sensor networks that investigate the effects of acoustic vocalizations on species to context-aware edge devices that anticipate changes in their environment adapt their sensing and processing accordingly. The research described here is an in-depth survey of the current state of bioacoustics classification and monitoring. The survey examines bioacoustics classification alongside general acoustics to provide a representative picture of the research landscape. The survey reviewed 124 studies spanning eight years of research. The survey identifies the key application areas in bioacoustics research and the techniques used in audio transformation and feature extraction. The survey also examines the classification algorithms used in bioacoustics systems. Lastly, the survey examines current challenges, possible opportunities, and future directions in bioacoustics.

KW - Article

KW - sound classification

KW - bioacoustics

KW - survey

KW - review

KW - acoustic detection

KW - general acoustics

U2 - 10.3390/s22218361

DO - 10.3390/s22218361

M3 - Journal article

VL - 22

JO - Sensors (Basel)

JF - Sensors (Basel)

SN - 1424-8220

IS - 21

M1 - 8361

ER -