Learning Interpretable Control Dimensions for Speech Synthesis by Using External Data. - Zack Hodari; Oliver Watts; Srikanth Ronanki; Simon King 001 (INTERSPEECH, 2018)

Investigating the Robustness of Sequence-to-Sequence Text-to-Speech Models to Imperfectly-Transcribed Training Data. - Jason Fong; Pilar Oplustil Gallegos; Zack Hodari; Simon King 001 (INTERSPEECH, 2019)

Using generative modelling to produce varied intonation for speech synthesis. - Zack Hodari; Oliver Watts; Simon King 001 (SSW, 2019)

Perception of prosodic variation for speech synthesis using an unsupervised discrete representation of F0. - Zack Hodari; Catherine Lai; Simon King 001 (CoRR, 2020)

Camp: A Two-Stage Approach to Modelling Prosody in Context. - Zack Hodari; Alexis Moinet; Sri Karlapati; Jaime Lorenzo-Trueba; Thomas Merritt; Arnaud Joly; Ammar Abbas; Penny Karanasou; Thomas Drugman (ICASSP, 2021)

Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech. - Sri Karlapati; Ammar Abbas; Zack Hodari; Alexis Moinet; Arnaud Joly; Penny Karanasou; Thomas Drugman (ICASSP, 2021)

Ensemble Prosody Prediction For Expressive Speech Synthesis. - Tian Huey Teh; Vivian Hu; Devang S. Ram Mohan; Zack Hodari; Christopher G. R. Wallis; Tomás Gómez Ibarrondo; Alexandra Torresquintero; James Leoni; Mark J. F. Gales; Simon King 001 (ICASSP, 2023)

Controlling High-Dimensional Data With Sparse Input. - Dan-Andrei Iliescu; Devang Savita Ram Mohan; Tian Huey Teh; Zack Hodari (CoRR, 2023)

Controllable Prosody Generation with Partial Inputs. - Dan-Andrei Iliescu; Devang S. Ram Mohan; Tian Huey Teh; Zack Hodari (ICASSP, 2024)