Search Results for author: Ines Nolasco

Found 3 papers, 3 papers with code

Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection

1 code implementation27 Mar 2024 Jinhua Liang, Ines Nolasco, Burooj Ghani, Huy Phan, Emmanouil Benetos, Dan Stowell

A recent development in the field is the introduction of the task known as few-shot bioacoustic sound event detection, which aims to train a versatile animal sound detector using only a small set of audio samples.

Data Augmentation Domain Adaptation +3

Few-shot bioacoustic event detection at the DCASE 2023 challenge

1 code implementation15 Jun 2023 Ines Nolasco, Burooj Ghani, Shubhr Singh, Ester Vidaña-Vila, Helen Whitehead, Emily Grout, Michael Emmerson, Frants Jensen, Ivan Kiskin, Joe Morford, Ariana Strandburg-Peshkin, Lisa Gill, Hanna Pamuła, Vincent Lostanlen, Dan Stowell

Few-shot bioacoustic event detection consists in detecting sound events of specified types, in varying soundscapes, while having access to only a few examples of the class of interest.

Event Detection Few-Shot Learning +1

Rank-based loss for learning hierarchical representations

1 code implementation11 Oct 2021 Ines Nolasco, Dan Stowell

We show that rank based loss is suitable to learn hierarchical representations of the data.

Audio Classification

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