Results 231 to 240 of about 22,943,569 (259)

Individual bird identification by modelling temporal structure in bioacoustic embeddings

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Identifying individual animals from vocalizations is an emerging research area in computational bioacoustics. This non‐invasive approach reduces reliance on physical capture and tagging for wildlife monitoring. Recent advances in this area leverage deep learning and bioacoustic foundation models adapted from species‐level classifiers. However,
Jonathan Gallego   +2 more
wiley   +1 more source

Author Correction: A machine learning method to process voice samples for identification of Parkinson's disease. [PDF]

open access: yesSci Rep
Iyer A   +7 more
europepmc   +1 more source

Non-invasive classification of stable HFpEF using a deep learning model trained on acoustic features of sustained vowels. [PDF]

open access: yesBiomed Eng Online
Lyu Y   +8 more
europepmc   +1 more source

Voice Quality Evaluation in Patients With COVID-19: An Acoustic Analysis

Journal of Voice, 2022
Abdalsamad Keramatfar   +2 more
exaly  

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