Computational bioacoustics with deep learning: a review and roadmap
D Stowell - PeerJ, 2022 - peerj.com
Animal vocalisations and natural soundscapes are fascinating objects of study, and contain
valuable evidence about animal behaviours, populations and ecosystems. They are studied …
valuable evidence about animal behaviours, populations and ecosystems. They are studied …
A survey of deep active learning for foundation models
T Wan, K Xu, T Yu, X Wang, D Feng, B Ding… - Intelligent …, 2023 - spj.science.org
Active learning (AL) is an effective sample selection approach that annotates only a subset
of the training data to address the challenge of data annotation, and deep learning (DL) is …
of the training data to address the challenge of data annotation, and deep learning (DL) is …
Deep scalogram representations for acoustic scene classification
Spectrogram representations of acoustic scenes have achieved competitive performance for
acoustic scene classification. Yet, the spectrogram alone does not take into account a …
acoustic scene classification. Yet, the spectrogram alone does not take into account a …
[PDF][PDF] Leveraging transfer learning and active learning for sound event detection in passive acoustic monitoring of wildlife
Abstract Passive Acoustic Monitoring (PAM) has emerged as a pivotal technology for wildlife
monitoring, generating vast amounts of acoustic data. However, the successful application of …
monitoring, generating vast amounts of acoustic data. However, the successful application of …
[HTML][HTML] Leveraging transfer learning and active learning for data annotation in passive acoustic monitoring of wildlife
Abstract Passive Acoustic Monitoring (PAM) has emerged as a pivotal technology for wildlife
monitoring, generating vast amounts of acoustic data. However, the successful application of …
monitoring, generating vast amounts of acoustic data. However, the successful application of …