Ecology & computer audition: Applications of audio technology to monitor organisms and environment DOI Creative Commons
Björn W. Schuller, Alican Akman, Yi Chang

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 10(1), P. e23142 - e23142

Published: Dec. 2, 2023

Among the 17 Sustainable Development Goals (SDGs) proposed within 2030 Agenda and adopted by all United Nations member states, 13th SDG is a call for action to combat climate change. Moreover, SDGs 14 15 claim protection conservation of life below water on land, respectively. In this work, we provide literature-founded overview application areas, in which computer audition – powerful but context so far hardly considered technology, combining audio signal processing machine intelligence employed monitor our ecosystem with potential identify ecologically critical processes or states. We distinguish between applications related organisms, such as species richness analysis plant health monitoring, environment, melting ice monitoring wildfire detection. This work positions relation alternative approaches discussing methodological strengths limitations, well ethical aspects. conclude an urgent research community greater involvement methodology future approaches.

Language: Английский

Caracterización acústica de fincas bajo pago por servicios ambientales en la Reserva Forestal Golfo Dulce, Costa Rica DOI Creative Commons
Jimmy Barrantes-Madrigal,

Mónica Retamosa,

Ricardo Bedoya

et al.

Revista de Ciencias Ambientales, Journal Year: 2024, Volume and Issue: 58(2), P. 1 - 27

Published: Feb. 15, 2024

[Introduction]: In Latin America, the sensitive tropical biodiversity found outside of protected wilderness areas is under threat. Costa Rica, payment for environmental services (PSA) represents a mechanism to protect forests on private farms, but it lacks specific indicators state and forest conservation. [Objective]: To analyze use acoustic monitoring ecosystem assessment at 11 sites in Osa Peninsula, nine two within Corcovado National Park. [Methods]: Soundscapes were recorded from May 25 June 1, 2021, using recorders. It was analyzed behavior six indices each sampling site applied an automated detection analysis vocalizations representative bird species area. [Results]: that most fragmented presented higher activity, energy, diversity, possibly due edge effects ecotones present, as well high component surrounding matrix. Automated vocalization indicated Hylopezus perspicillatus turned out be more differences landscape than Trogon bairdii. [Conclusions]: The indices, although associates features degree conservation, not differentiating element quality evaluated farms. ofspecies through their promising. A careful rigorous design, with moresampling points per site, recommended achieve accurate measurements avoid bias analysis.

Language: Английский

Citations

1

An Easily Customizable Approach for Automated Species-Specific Detection of Anuran Calls Using the European Green Toad as an Example DOI Creative Commons
Lukas Landler, Yurii V. Kornilev, Stephan Burgstaller

et al.

Information, Journal Year: 2024, Volume and Issue: 15(10), P. 610 - 610

Published: Oct. 6, 2024

Machine learning approaches for pattern recognition are increasingly popular. However, the underlying algorithms often not open source, may require substantial data model training, and geared toward specific tasks. We used open-source software to build a green toad breeding call detection algorithm that will aid in field analysis. provide instructions on how reproduce our approach other animal sounds research questions. Our using 34 sequences 166 audio files without had an accuracy of 0.99 when split into training (70%) testing (30%) datasets. The final was applied amphibian newly collected by citizen scientists. function three categories: “Green toad(s) detected”, “No “Double check”. Ninety percent containing calls were classified as remaining 10% Eighty-nine 11% Hence, none wrong category. conclude it is feasible researchers their own efficient algorithm.

Language: Английский

Citations

0

Optimizing the frequency of question items for bird species in quiz-style online training DOI Creative Commons

Yui Ogawa,

Keita Fukasawa, Akira Yoshioka

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102908 - 102908

Published: Nov. 1, 2024

Language: Английский

Citations

0

ChirpArray: A low‐cost, easy‐to‐construct microphone array for long‐term ecoacoustic monitoring DOI Creative Commons
Ryotaro Okamoto, Hiroyuki Oguma

Methods in Ecology and Evolution, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 18, 2024

Abstract Advances in passive acoustic monitoring (PAM) have highlighted the importance of recording devices and audio recognition techniques ecosystem monitoring. This study introduces ChirpArray, a cost‐effective easily assembled microphone array for long‐term ecoacoustic outdoor ecosystems. The ChirpArray system features four‐channel that estimates sound source directions, aids identifying individual animals provides detailed behavioural analysis. Unlike previous arrays, is low‐cost, low‐power waterproof, making it ideal extended‐field It fully open constructed from readily available materials, ensuring broad accessibility applications ranging local citizen projects to large‐scale landscape recordings. details power, storage consumption localization performance ChirpArray. Current measurements show small solar‐power set‐up can continuously operate system. Localization tests using loudspeakers yielded promising results. compact, energy‐efficient designed recording, offering considerable advantages Its exceptionally low power allows efficient flexible deployment, an solution

Language: Английский

Citations

0

Ecology & computer audition: Applications of audio technology to monitor organisms and environment DOI Creative Commons
Björn W. Schuller, Alican Akman, Yi Chang

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 10(1), P. e23142 - e23142

Published: Dec. 2, 2023

Among the 17 Sustainable Development Goals (SDGs) proposed within 2030 Agenda and adopted by all United Nations member states, 13th SDG is a call for action to combat climate change. Moreover, SDGs 14 15 claim protection conservation of life below water on land, respectively. In this work, we provide literature-founded overview application areas, in which computer audition – powerful but context so far hardly considered technology, combining audio signal processing machine intelligence employed monitor our ecosystem with potential identify ecologically critical processes or states. We distinguish between applications related organisms, such as species richness analysis plant health monitoring, environment, melting ice monitoring wildfire detection. This work positions relation alternative approaches discussing methodological strengths limitations, well ethical aspects. conclude an urgent research community greater involvement methodology future approaches.

Language: Английский

Citations

0