10 citations · 34 across the 9 of their papers we have counts for
9 papers
PlayClass: Automated Play Behaviour Classification in Poultry
Prince Ravi Leow, Neil Scheidwasser, Rebecca Oscarsson +3
Automated monitoring of animal welfare has largely targeted negative indicators, leaving positive welfare behaviours such as play underexplored. To address this gap, we present Pla…
Generalised Bayesian distance-based phylogenetics for the genomics era
Matthew J. Penn, Neil Scheidwasser, Mark P. Khurana +3
As whole genomes become widely available, maximum likelihood and Bayesian phylogenetic methods are demonstrating their limits in meeting the escalating computational demands. Conve…
Speaker Embeddings as Individuality Proxy for Voice Stress Detection
Zihan Wu, Neil Scheidwasser-Clow, Karl El Hajal +1
Since the mental states of the speaker modulate speech, stress introduced by cognitive or physical loads could be detected in the voice. The existing voice stress detection benchma…
Leaping through tree space: continuous phylogenetic inference for rooted and unrooted trees
Matthew J Penn, Neil Scheidwasser, Joseph Penn +3
Phylogenetics is now fundamental in life sciences, providing insights into the earliest branches of life and the origins and spread of epidemics. However, finding suitable phylogen…
Phylo2Vec: a vector representation for binary trees
Matthew J Penn, Neil Scheidwasser, Mark P Khurana +3
Binary phylogenetic trees inferred from biological data are central to understanding the shared history among evolutionary units. However, inferring the placement of latent nodes i…
Efficient Speech Quality Assessment using Self-supervised Framewise Embeddings
Karl El Hajal, Zihan Wu, Neil Scheidwasser-Clow +2
Automatic speech quality assessment is essential for audio researchers, developers, speech and language pathologists, and system quality engineers. The current state-of-the-art sys…
BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping
Gasser Elbanna, Neil Scheidwasser-Clow, Mikolaj Kegler +3
Methods for extracting audio and speech features have been studied since pioneering work on spectrum analysis decades ago. Recent efforts are guided by the ambition to develop gene…
Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load
Gasser Elbanna, Alice Biryukov, Neil Scheidwasser-Clow +5
As a neurophysiological response to threat or adverse conditions, stress can affect cognition, emotion and behaviour with potentially detrimental effects on health in the case of s…
SERAB: A multi-lingual benchmark for speech emotion recognition
Neil Scheidwasser-Clow, Mikolaj Kegler, Pierre Beckmann +1
Recent developments in speech emotion recognition (SER) often leverage deep neural networks (DNNs). Comparing and benchmarking different DNN models can often be tedious due to the…