Thomas Merritt
Thomas Merritt
Amazon
Verified email at amazon.co.uk
Title
Cited by
Cited by
Year
From HMMs to DNNs: where do the improvements come from?
O Watts, GE Henter, T Merritt, Z Wu, S King
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
712016
Deep neural network-guided unit selection synthesis
T Merritt, RAJ Clark, Z Wu, J Yamagishi, S King
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
612016
Towards achieving robust universal neural vocoding
J Lorenzo-Trueba, T Drugman, J Latorre, T Merritt, B Putrycz, ...
arXiv preprint arXiv:1811.06292, 2018
542018
Effect of data reduction on sequence-to-sequence neural tts
J Latorre, J Lachowicz, J Lorenzo-Trueba, T Merritt, T Drugman, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
412019
Measuring the perceptual effects of modelling assumptions in speech synthesis using stimuli constructed from repeated natural speech
GE Henter, T Merritt, M Shannon, C Mayo, S King
Fifteenth Annual Conference of the International Speech Communication …, 2014
402014
Attributing modelling errors in HMM synthesis by stepping gradually from natural to modelled speech
T Merritt, J Latorre, S King
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
222015
In other news: A bi-style text-to-speech model for synthesizing newscaster voice with limited data
N Prateek, M Łajszczak, R Barra-Chicote, T Drugman, J Lorenzo-Trueba, ...
arXiv preprint arXiv:1904.02790, 2019
212019
Robust universal neural vocoding
J Lorenzo-Trueba, T Drugman, J Latorre, T Merritt, B Putrycz, ...
arXiv preprint arXiv:1811.06292, 2018
152018
Phrase Break Prediction for Long-Form Reading TTS: Exploiting Text Structure Information.
V Klimkov, A Nadolski, A Moinet, B Putrycz, R Barra-Chicote, T Merritt, ...
Interspeech, 1064-1068, 2017
152017
Investigating source and filter contributions, and their interaction, to statistical parametric speech synthesis
T Merritt, T Raitio, S King
Fifteenth Annual Conference of the International Speech Communication …, 2014
152014
Investigating the shortcomings of HMM synthesis
T Merritt, S King
Eighth ISCA Workshop on Speech Synthesis, 2013
142013
Deep neural network context embeddings for model selection in rich-context HMM synthesis
T Merritt, J Yamagishi, Z Wu, O Watts, S King
Sixteenth Annual Conference of the International Speech Communication …, 2015
132015
Comprehensive evaluation of statistical speech waveform synthesis
T Merritt, B Putrycz, A Nadolski, T Ye, D Korzekwa, W Dolecki, T Drugman, ...
2018 IEEE Spoken Language Technology Workshop (SLT), 325-331, 2018
102018
A flexible front-end for HTS
MP Aylett, R Dall, A Ghoshal, GE Henter, T Merritt
Fifteenth Annual Conference of the International Speech Communication …, 2014
92014
Low-resource expressive text-to-speech using data augmentation
G Huybrechts, T Merritt, G Comini, B Perz, R Shah, J Lorenzo-Trueba
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
62021
CAMP: a two-stage approach to modelling prosody in context
Z Hodari, A Moinet, S Karlapati, J Lorenzo-Trueba, T Merritt, A Joly, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
42021
Contextual text-to-speech processing
RB Chicote, J Latorre, AF Nadolski, V Klimkov, TE Merritt
US Patent 10,475,438, 2019
32019
Overcoming the limitations of statistical parametric speech synthesis
T Merritt
The University of Edinburgh, 2017
32017
Listening test materials for
T Merritt, J Yamagishi, Z Wu, O Watts, S King
Deep neural network context embeddings for model selection in rich-context …, 2015
32015
Parallel WaveNet conditioned on VAE latent vectors
J Rohnke, T Merritt, J Lorenzo-Trueba, A Gabrys, V Aggarwal, A Moinet, ...
arXiv preprint arXiv:2012.09703, 2020
22020
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Articles 1–20