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Thomas Merritt
Thomas Merritt
Amazon
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Cited by
Cited by
Year
Towards achieving robust universal neural vocoding
J Lorenzo-Trueba, T Drugman, J Latorre, T Merritt, B Putrycz, ...
arXiv preprint arXiv:1811.06292, 2018
962018
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
782016
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
702016
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
652019
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
442014
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
352021
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
312019
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
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, ...
212018
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
202021
Non-autoregressive tts with explicit duration modelling for low-resource highly expressive speech
R Shah, K Pokora, A Ezzerg, V Klimkov, G Huybrechts, B Putrycz, ...
arXiv preprint arXiv:2106.12896, 2021
162021
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
162018
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
162014
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
142015
Investigating the shortcomings of HMM synthesis
T Merritt, S King
Eighth ISCA Workshop on Speech Synthesis, 2013
142013
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
102014
Creating new voices using normalizing flows
P Biliński, T Merritt, A Ezzerg, K Pokora, S Cygert, K Yanagisawa, ...
62022
Varying speaking styles with neural textto-speech
T Wood, T Merritt
Amazon Science, 2018
62018
Text-Free Non-Parallel Many-To-Many Voice Conversion Using Normalising Flow
T Merritt, A Ezzerg, P Biliński, M Proszewska, K Pokora, R Barra-Chicote, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
52022
Text-to-speech (TTS) processing
JL Trueba, TR Drugman, V Klimkov, S Ronanki, TE Merritt, AP Breen, ...
US Patent 10,741,169, 2020
52020
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Articles 1–20