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researcher

F. Frazão

3 papers hereh-index 9425 citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.AS2
  • cs.SD1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedRecurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection

9 citations · 9 across the 2 of their papers we have counts for

collaborators

3 papers

cs.SD2025

Advancing Marine Bioacoustics with Deep Generative Models: A Hybrid Augmentation Strategy for Southern Resident Killer Whale Detection

Bruno Padovese, Fabio Frazao, Michael Dowd +1

Automated detection and classification of marine mammals vocalizations is critical for conservation and management efforts but is hindered by limited annotated datasets and the aco…

eess.AS2020

Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls

Oliver S. Kirsebom, Fabio Frazao, Yvan Simard +3

Passive acoustics provides a powerful tool for monitoring the endangered North Atlantic right whale (Eubalaena glacialis), but robust detection algorithms are needed to handle…

eess.AS2019★ 9 cited

Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection

Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão +2

In this paper, we adapt Recurrent Neural Networks with Stochastic Layers, which are the state-of-the-art for generating text, music and speech, to the problem of acoustic novelty d…

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