20 citations · 27 across the 6 of their papers we have counts for
7 papers
An evaluation of data augmentation methods for sound scene geotagging
Helen L. Bear, Veronica Morfi, Emmanouil Benetos
Sound scene geotagging is a new topic of research which has evolved from acoustic scene classification. It is motivated by the idea of audio surveillance. Not content with only des…
Ensemble Models for Spoofing Detection in Automatic Speaker Verification
Bhusan Chettri, Daniel Stoller, Veronica Morfi +3
Detecting spoofing attempts of automatic speaker verification (ASV) systems is challenging, especially when using only one modeling approach. For robustness, we use both deep neura…
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…
Deep Learning for Audio Transcription on Low-Resource Datasets
Veronica Morfi, Dan Stowell
In training a deep learning system to perform audio transcription, two practical problems may arise. Firstly, most datasets are weakly labelled, having only a list of events presen…
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…