Tradeoffs in sound quality and cost for passive acoustic devices DOI Creative Commons
Clarissa A. Starbuck,

Logan M. DeSchepper,

Meredith L. Hoggatt

et al.

Bioacoustics, Journal Year: 2023, Volume and Issue: 33(1), P. 58 - 73

Published: Dec. 12, 2023

Ecologists often collect data with automatic sensors such as passive acoustic devices. Traditional commercial devices that record ultrasonic sounds are usually > 700USD; less costly options now exist but the sound quality is unknown. We compared a low-cost device to traditional for of bat call recorded. simultaneously deployed two types at seven sites free-flying bats over three nights. paired files from both when they occurred ≤ 3 s apart and contained ≥ pulses; each file pair pulse, we measured indicators recording quality, specifically duration, maximum frequency, bandwidth. proportion classified low mid or Myotis bats. The recorded lower pulses (i.e., shorter bandwidth). more expensive higher calls low-frequency calls, there was no difference across in mid-frequency Less alternatives may be inappropriate studies requiring high-quality critical research objectives multiple constrained by budget.

Language: Английский

Biases in Ecoacoustics Analysis: A Protocol to Equalize Audio Recorders DOI Creative Commons
Andrea Potenza, Valentina Caorsi, R. Benocci

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(14), P. 4642 - 4642

Published: July 17, 2024

Eco-acoustic indices allow us to rapidly evaluate habitats and ecosystems derive information about anthropophonic impacts. However, it is proven that indices' values trends are not comparable between studies. These incongruences may be caused by the availability on market of recorders with different characteristics costs. Thus, there a need reduce these biases ensure an accurate analysis comparison soundscape ecology studies habitat assessments. In this study, we propose validate audio recording equalization protocol eco-acoustic biases, testing three recorder models: Song Meter Micro, Soundscape Explorer Terrestrial Audiomoth. The process aligns signal amplitude frequency response those type 1 level meter. adjustment was made in MATLAB R2023a using filter curve generated comparing reference (white noise); measurements were performed anechoic chamber 11 sensors sound meter (able produce .WAV file). statistical validation procedure recordings obtained urban Regional Park (Italy) assessing significant reduction Micro

Language: Английский

Citations

4
Birds and Other Animals Detection Through Artificial Intelligence: A Full-System Architecture DOI
Albano Carrera, Sergio Alonso-Rollán, Guillermo Redondo-Galán

et al.

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 5 - 14

Published: Jan. 1, 2025

Language: Английский

Citations

0
Long-Range Bird Species Identification Using Directional Microphones and CNNs DOI Creative Commons
Tatiane Martins Garcia,

Luis Nieto Piña,

Magnus S. Robb

et al.

Machine Learning and Knowledge Extraction, Journal Year: 2024, Volume and Issue: 6(4), P. 2336 - 2354

Published: Oct. 16, 2024

This study explores the integration of directional microphones with convolutional neural networks (CNNs) for long-range bird species identification. By employing microphones, we aimed to capture high-resolution audio from specific directions, potentially improving clarity calls over extended distances. Our approach involved processing these recordings CNNs trained on a diverse dataset calls. The results demonstrated that system is capable systematically identifying up 150 m, reaching 280 m vocalizing at frequencies greater than 1000 Hz and clearly distinct background noise. furthest successful detection was obtained 510 m. While method showed promise in enhancing identification process compared traditional techniques, there were notable limitations recordings. These findings suggest while promising, further refinement needed fully realize benefits this approach. Future efforts should focus audio-capture technology reduce ambient noise enhance system’s overall performance

Language: Английский

Citations

0
Unsupervised selection of acoustic indices: An experimental comparison for characterizing unlabeled audio recordings from sub-Andean forest soundscapes DOI
Ana-Lorena Uribe-Hurtado, F. J. Martinez-Tabares, Mauricio Orozco‐Alzate

et al.

Applied Acoustics, Journal Year: 2024, Volume and Issue: 228, P. 110363 - 110363

Published: Oct. 24, 2024

Language: Английский

Citations

0
Bird communities in the Dry Chaco of South America: vegetation structure and climate effects DOI Creative Commons
Romina Cardozo, Ricardo B. Machado

Perspectives in Ecology and Conservation, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

0
Tradeoffs in sound quality and cost for passive acoustic devices DOI Creative Commons
Clarissa A. Starbuck,

Logan M. DeSchepper,

Meredith L. Hoggatt

et al.

Bioacoustics, Journal Year: 2023, Volume and Issue: 33(1), P. 58 - 73

Published: Dec. 12, 2023

Ecologists often collect data with automatic sensors such as passive acoustic devices. Traditional commercial devices that record ultrasonic sounds are usually > 700USD; less costly options now exist but the sound quality is unknown. We compared a low-cost device to traditional for of bat call recorded. simultaneously deployed two types at seven sites free-flying bats over three nights. paired files from both when they occurred ≤ 3 s apart and contained ≥ pulses; each file pair pulse, we measured indicators recording quality, specifically duration, maximum frequency, bandwidth. proportion classified low mid or Myotis bats. The recorded lower pulses (i.e., shorter bandwidth). more expensive higher calls low-frequency calls, there was no difference across in mid-frequency Less alternatives may be inappropriate studies requiring high-quality critical research objectives multiple constrained by budget.

Language: Английский

Citations

0