Browsing School of Electronic Engineering and Computer Science by Author "Sturm, B"
Now showing items 1-5 of 5
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BEHAVIOR OF GREEDY SPARSE REPRESENTATION ALGORITHMS ON NESTED SUPPORTS
Mailhe, B; Sturm, B; Plumbley, MD; IEEE (2013) -
Ensemble Models for Spoofing Detection in Automatic Speaker Verification
Chettri, B; Stoller, D; Morfi, V; Martinez Ramirez, M; Benetos, E; Sturm, B; 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019) (International Speech Communication Association (ISCA), 2019-09-15)Detecting spoofing attempts of automatic speaker verification (ASV) systems is challenging, especially when using only one modelling approach. For robustness, we use both deep neural networks and traditional machine learning ... -
Explaining Predictions of Machine Listening Systems
MISHRA, S; Sturm, B; Dixon, S; DMRN+11: Digital Music Research Network One-day Workshop 2016 (Centre for Digital Music, Queen Mary University of London, 2016-12-20)We adapt local, interpretable and model-agnostic explanations [1] for use with a machine listening system, and demonstrate it for singing voice detection. Such explanations provide ways to understand the behaviour of machine ... -
A Multimodal System for Gesture Recognition in Interactive Music Performance
Overholt, D; Thompson, J; Putnam, L; Bell, B; Kleban, J; Sturm, B; Kuchera-Morin, J (Massachusetts Institute of Technology Press (MIT Press): Arts & Humanities Titles etc, 2009-11-30) -
Reliable Local Explanations for Machine Listening
MISHRA, S; Benetos, E; Sturm, B; Dixon, S; International Joint Conference on Neural Networks (IJCNN) (IEEE, 2020-07-19)One way to analyse the behaviour of machine learning models is through local explanations that highlight input features that maximally influence model predictions. Sensitivity analysis, which involves analysing the effect ...