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of 16
pro vyhledávání: '"Nolasco, Ines"'
Detecting the presence of animal vocalisations in nature is essential to study animal populations and their behaviors. A recent development in the field is the introduction of the task known as few-shot bioacoustic sound event detection, which aims t
Externí odkaz:
http://arxiv.org/abs/2403.18638
Autor:
Nolasco, Ines, Ghani, Burooj, Singh, Shubhr, Vidaña-Vila, Ester, Whitehead, Helen, Grout, Emily, Emmerson, Michael, Jensen, Frants, Kiskin, Ivan, Morford, Joe, Strandburg-Peshkin, Ariana, Gill, Lisa, Pamuła, Hanna, Lostanlen, Vincent, Stowell, Dan
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. This task ran as part of the DCASE challenge for the third time t
Externí odkaz:
http://arxiv.org/abs/2306.09223
Autor:
Nolasco, Inês, Singh, Shubhr, Morfi, Veronica, Lostanlen, Vincent, Strandburg-Peshkin, Ariana, Vidaña-Vila, Ester, Gill, Lisa, Pamuła, Hanna, Whitehead, Helen, Kiskin, Ivan, Jensen, Frants H., Morford, Joe, Emmerson, Michael G., Versace, Elisabetta, Grout, Emily, Liu, Haohe, Stowell, Dan
Automatic detection and classification of animal sounds has many applications in biodiversity monitoring and animal behaviour. In the past twenty years, the volume of digitised wildlife sound available has massively increased, and automatic classific
Externí odkaz:
http://arxiv.org/abs/2305.13210
Autor:
Nolasco, Ines, Stowell, Dan
Hierarchical taxonomies are common in many contexts, and they are a very natural structure humans use to organise information. In machine learning, the family of methods that use the 'extra' information is called hierarchical classification. However,
Externí odkaz:
http://arxiv.org/abs/2110.05941
Acoustic Scene Classification (ASC) and Sound Event Detection (SED) are two separate tasks in the field of computational sound scene analysis. In this work, we present a new dataset with both sound scene and sound event labels and use this to demonst
Externí odkaz:
http://arxiv.org/abs/1904.10408
Autor:
Nolasco, Inês, Terenzi, Alessandro, Cecchi, Stefania, Orcioni, Simone, Bear, Helen L., Benetos, Emmanouil
The absence of the queen in a beehive is a very strong indicator of the need for beekeeper intervention. Manually searching for the queen is an arduous recurrent task for beekeepers that disrupts the normal life cycle of the beehive and can be a sour
Externí odkaz:
http://arxiv.org/abs/1811.06330
Autor:
Nolasco, Inês, Benetos, Emmanouil
Publikováno v:
Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018)
In this work, we aim to explore the potential of machine learning methods to the problem of beehive sound recognition. A major contribution of this work is the creation and release of annotations for a selection of beehive recordings. By experimentin
Externí odkaz:
http://arxiv.org/abs/1811.06016
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