no code implementations • 19 Jun 2023 • Holly Wilson, Scott Wellington, Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Nosheen Abid, Sumit Rakesh, Johan Eriksson, Oliver Watts, Xi Chen, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe
Decoding inner speech from the brain signal via hybridisation of fMRI and EEG data is explored to investigate the performance benefits over unimodal models.
1 code implementation • 22 Sep 2022 • Cassia Valentini-Botinhao, Manuel Sam Ribeiro, Oliver Watts, Korin Richmond, Gustav Eje Henter
While previous work has focused on predicting listeners' ratings (mean opinion scores) of individual stimuli, we focus on the simpler task of predicting subjective preference given two speech stimuli for the same text.
1 code implementation • 10 Jun 2019 • Zack Hodari, Oliver Watts, Simon King
A generative model that can synthesise multiple prosodies will, by design, not model average prosody.
no code implementations • 22 Aug 2016 • Srikanth Ronanki, Oliver Watts, Simon King, Gustav Eje Henter
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 probability at each timestep (acoustic frame).
no code implementations • LREC 2014 • Tiberiu Boro{\textcommabelow{s}}, Adriana Stan, Oliver Watts, Stefan Daniel Dumitrescu
This paper introduces a recent development of a Romanian Speech corpus to include prosodic annotations of the speech data in the form of ToBI labels.