10 citations · 20 across the 6 of their papers we have counts for
6 papers
Voice Conversion-based Privacy through Adversarial Information Hiding
Jacob J Webber, Oliver Watts, Gustav Eje Henter +2
Privacy-preserving voice conversion aims to remove only the attributes of speech audio that convey identity information, keeping other speech characteristics intact. This paper pre…
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models
Holly Wilson, Scott Wellington, Foteini Simistira Liwicki +13
Decoding inner speech from the brain signal via hybridisation of fMRI and EEG data is explored to investigate the performance benefits over unimodal models. Two different bimodal f…
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…
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…
Using generative modelling to produce varied intonation for speech synthesis
Zack Hodari, Oliver Watts, Simon King
Unlike human speakers, typical text-to-speech (TTS) systems are unable to produce multiple distinct renditions of a given sentence. This has previously been addressed by adding exp…
Median-Based Generation of Synthetic Speech Durations using a Non-Parametric Approach
Srikanth Ronanki, Oliver Watts, Simon King +1
This paper proposes a new approach to duration modelling for statistical parametric speech synthesis in which a recurrent statistical model is trained to output a phone transition…