2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
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…
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…