Results 161 to 170 of about 8,674 (182)

Comparing visual and acoustic detectability of two coastal cetacean species off Sindhudurg, India, to better inform integrated survey protocol. [PDF]

Sci Rep
Bopardikar I, Harris DV, Robin VV, Klinck H.   +3 more
europepmc   +1 more source

Automated Detection of Gibbon Calls From Passive Acoustic Monitoring Data Using Convolutional Neural Networks in the "Torch for R" Ecosystem. [PDF]

Ecol Evol
Clink DJ, Kim J, Cross-Jaya H, Ahmad AH, Hong M, Sala R, Birot H, Agger C, Vu TT, Thi HN, Chi TN, Klinck H.   +11 more
europepmc   +1 more source

Nonlinear phenomena in vertebrate vocalizations: mechanisms and communicative functions. [PDF]

Philos Trans R Soc Lond B Biol Sci
Massenet M, Mathevon N, Anikin A, Briefer EF, Fitch WT, Reby D.   +5 more
europepmc   +1 more source

Territorial song frequency does not signal body size in a song-learning passerine. [PDF]

Sci Rep
Zampa L, Szymański P, Łosak K, Osiejuk TS.   +3 more
europepmc   +1 more source

Artificial Intelligence and Deep Learning in Sensors and Applications: 2nd Edition. [PDF]

Sensors (Basel)
Hsieh YH, Yuan SM.
europepmc   +1 more source

Ultrasonic Vocalization Acoustics After Recurrent Laryngeal Nerve Injury and Recovery. [PDF]

Laryngoscope
Morrison R, Khan A, Shembel AC.
europepmc   +1 more source

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A study on the bioacoustics of Oriental scaly crickets (Orthoptera: Mogoplistinae), with a focus on Singaporean species

Bioacoustics, 2023
The scaly crickets, Mogoplistinae, form a monophyletic group of crickets and are characterised by scales covering the integument. In many species, males have modified forewings for producing highly tonal calling songs. Despite being a highly speciose and
M. Tan, Zhu-Qing He, S. Ingrisch
semanticscholar   +1 more source

BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics

arXiv.org, 2023
The ability for a machine learning model to cope with differences in training and deployment conditions--e.g. in the presence of distribution shift or the generalization to new classes altogether--is crucial for real-world use cases.
Jenny Hamer, Eleni Triantafillou, B. V. Merrienboer, Stefan Kahl, Holger Klinck, Tom Denton, Vincent Dumoulin   +6 more
semanticscholar   +1 more source

Tradition vs. innovation: comparing bioacoustics and mist-net results to bat sampling

Bioacoustics, 2022
Bats are a complex and diverse group, making their study remarkably challenging. Several methods allow the study of bats, e.g. mist-nets and acoustic monitoring (AM). We compare the use of AM and mist-nets to inventory bats in a mountainous region of São
M. Mancini, F. Hintze, Rafael De Souza Laurindo, Rodrigo de Macêdo Mello, R. Gregorin   +4 more
semanticscholar   +1 more source

NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics

arXiv.org
Large language models (LLMs) prompted with text and audio represent the state of the art in various auditory tasks, including speech, music, and general audio, showing emergent abilities on unseen tasks.
David Robinson, Marius Miron, Masato Hagiwara, Olivier Pietquin   +3 more
semanticscholar   +1 more source