most citedLearning to detect an animal sound from five examples

65 citations · 72 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2023★ 6 cited

Few-shot bioacoustic event detection at the DCASE 2023 challenge

Ines Nolasco, Burooj Ghani, Shubhr Singh +12

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 inter…

cs.SD2023★ 65 cited

Learning to detect an animal sound from five examples

Inês Nolasco, Shubhr Singh, Veronica Morfi +14

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 wil…

cs.SD2016★ 1 cited

On-bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts

Dan Stowell, Emmanouil Benetos, Lisa F. Gill

We introduce a novel approach to studying animal behaviour and the context in which it occurs, through the use of microphone backpacks carried on the backs of individual free-flyin…

cs.SD2016

Individual identity in songbirds: signal representations and metric learning for locating the information in complex corvid calls

Dan Stowell, Veronica Morfi, Lisa F. Gill

Bird calls range from simple tones to rich dynamic multi-harmonic structures. The more complex calls are very poorly understood at present, such as those of the scientifically impo…

q-bio.QM2016

Detailed temporal structure of communication networks in groups of songbirds

Dan Stowell, Lisa Gill, David Clayton

Animals in groups often exchange calls, in patterns whose temporal structure may be influenced by contextual factors such as physical location and the social network structure of t…