4 papers · 1 filter
NIPS4Bplus: a richly annotated birdsong audio dataset
Veronica Morfi, Yves Bas, Hanna Pamuła +2
Recent advances in birdsong detection and classification have approached a limit due to the lack of fully annotated recordings. In this paper, we present NIPS4Bplus, the first rich…
Data-Efficient Weakly Supervised Learning for Low-Resource Audio Event Detection Using Deep Learning
Veronica Morfi, Dan Stowell
We propose a method to perform audio event detection under the common constraint that only limited training data are available. In training a deep learning system to perform audio…
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…
Deductive Refinement of Species Labelling in Weakly Labelled Birdsong Recordings
Veronica Morfi, Dan Stowell
Many approaches have been used in bird species classification from their sound in order to provide labels for the whole of a recording. However, a more precise classification of ea…