12 citations · 13 across the 3 of their papers we have counts for
4 papers · 1 filter
Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark
Bhusan Chettri, Emmanouil Benetos, Bob L. T. Sturm
The Automatic Speaker Verification Spoofing and Countermeasures Challenges motivate research in protecting speech biometric systems against a variety of different access attacks. T…
Reliable Local Explanations for Machine Listening
Saumitra Mishra, Emmanouil Benetos, Bob L. Sturm +1
One way to analyse the behaviour of machine learning models is through local explanations that highlight input features that maximally influence model predictions. Sensitivity anal…
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…
A Study On Convolutional Neural Network Based End-To-End Replay Anti-Spoofing
Bhusan Chettri, Saumitra Mishra, Bob L. Sturm +1
The second Automatic Speaker Verification Spoofing and Countermeasures challenge (ASVspoof 2017) focused on "replay attack" detection. The best deep-learning systems to compete in…