activity
20192025
most citedAutovocoder: Fast Waveform Generation from a Learned Speech Representation using Differentiable Digital Signal Processing

11 citations · 20 across the 6 of their papers we have counts for

collaborators

7 papers

eess.AS2025

Evaluating pretrained speech embedding systems for dysarthria detection across heterogenous datasets

Lovisa Wihlborg, Jemima Goodall, David Wheatley +8

We present a comprehensive evaluation of pretrained speech embedding systems for the detection of dysarthric speech using existing accessible data. Dysarthric speech datasets are o…

eess.AS2025

Comparator Loss: An Ordinal Contrastive Loss to Derive a Severity Score for Speech-based Health Monitoring

Jacob J Webber, Oliver Watts, Lovisa Wihlborg +5

Monitoring the progression of neurodegenerative disease (NDD) has important applications in planning treatment and evaluating new medications. Whereas much work has focused on disc…

eess.AS2023★ 2 cited

Differentiable Grey-box Modelling of Phaser Effects using Frame-based Spectral Processing

Alistair Carson, Cassia Valentini-Botinhao, Simon King +1

Machine learning approaches to modelling analog audio effects have seen intensive investigation in recent years, particularly in the context of non-linear time-invariant effects su…

cs.SD2022★ 3 cited

Puffin: pitch-synchronous neural waveform generation for fullband speech on modest devices

Oliver Watts, Lovisa Wihlborg, Cassia Valentini-Botinhao

We present a neural vocoder designed with low-powered Alternative and Augmentative Communication devices in mind. By combining elements of successful modern vocoders with establish…

cs.SD2022★ 11 cited

Autovocoder: Fast Waveform Generation from a Learned Speech Representation using Differentiable Digital Signal Processing

Jacob J Webber, Cassia Valentini-Botinhao, Evelyn Williams +2

Most state-of-the-art Text-to-Speech systems use the mel-spectrogram as an intermediate representation, to decompose the task into acoustic modelling and waveform generation. A mel…

cs.SD2022★ 3 cited

Predicting pairwise preferences between TTS audio stimuli using parallel ratings data and anti-symmetric twin neural networks

Cassia Valentini-Botinhao, Manuel Sam Ribeiro, Oliver Watts +2

Automatically predicting the outcome of subjective listening tests is a challenging task. Ratings may vary from person to person even if preferences are consistent across listeners…

eess.AS2019★ 1 cited

Non linear time compression of clear and normal speech at high rates

Cassia Valentini-Botinhao, Mirjam Wester, Junichi Yamagishi +3

We compare a series of time compression methods applied to normal and clear speech. First we evaluate a linear (uniform) method applied to these styles as well as to naturally-prod…