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Learning to detect an animal sound from five examples
Ines Nolasco
, Shubhr Singh
, Veronica Morfi
, Vincent Lostanlen
, Ariana Strandburg-Peshkin
,
Ester Vidaña-Vila
, Lisa Gill
, Hanna Pamuła
, Helen Whitehead
, Ivan Kiskin
, Frants H. Jensen
, Joe Morford
, Michael G. Emmerson
, Elisabetta Versace
, Emily Grout
, Haohe Liu
, Burooj Ghani
, Dan Stowell
*
*
Corresponding author for this work
Engineering Department
La Salle Digital Engineering School
Human-Environment Research
Research output
:
Indexed journal article
›
Article
›
peer-review
44
Citations (Scopus)
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Computer Science
Event Detection
100%
Automatic Classification
50%
Training Data
50%
Supervised Learning
25%
training algorithm
25%
Time Resolution
25%
Few-Shot Learning
25%
Strongest Result
25%
Data Characteristic
25%
Detection Method
25%
Automatic Detection
25%
Artificial Intelligence
25%
Deep Learning Method
25%
Earth and Planetary Sciences
Bioacoustics
100%
Automatic Detection
25%
Detection Method
25%
Nonstationarity
25%
Animal Behavior
25%
Supervised Learning
25%
Artificial Intelligence
25%
Signal Processing
25%
Physics
Bioacoustics
100%
Supervised Learning
25%
Signal Processing
25%
Artificial Intelligence
25%
Deep Learning Method
25%
Animal Behavior
25%
Neuroscience
Behavior (Neuroscience)
100%
Signal Processing
100%