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Thomas Merritt
Observed name:
Merritt, Thomas
Observed institutions:
Amazon (United States),
Amazon (United Kingdom),
University of Edinburgh
OpenAlex ID:
A5038417409
INTERSPEECH 2014 15th Annual Conference of the International Speech Communication Association
2014
·
Matthew P. Aylett
, Rasmus Dall
, et al.
·
93
Towards Achieving Robust Universal Neural Vocoding
2019
·
Jaime Lorenzo-Trueba
, Thomas Drugman
, et al.
·
Interspeech (USB)
·
87
From HMMS to DNNS: Where do the improvements come from?
2016
·
Oliver Watts
, Gustav Eje Henter
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
68
Effect of Data Reduction on Sequence-to-sequence Neural TTS
2019
·
Javier Latorre
, Jakub Lachowicz
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
52
PDF
Low-Resource Expressive Text-To-Speech Using Data Augmentation
2021
·
Goeric Huybrechts
, Thomas Merritt
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
50
PDF
Deep neural network-guided unit selection synthesis
2016
·
Thomas Merritt
, Robert A. J. Clark
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
48
Measuring the perceptual effects of modelling assumptions in speech synthesis using stimuli constructed from repeated natural speech
2014
·
Gustav Eje Henter
, Thomas Merritt
, et al.
·
Interspeech (USB)
·
38
In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data
2019
·
Nishant Prateek
, Mateusz Łajszczak
, et al.
·
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
·
27
PDF
Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech
2021
·
Raahil Shah
, Kamil Pokora
, et al.
·
26
PDF
Phrase Break Prediction for Long-Form Reading TTS: Exploiting Text Structure Information
2017
·
Viacheslav Klimkov
, Adam Nadolski
, et al.
·
Interspeech (USB)
·
22
Camp: A Two-Stage Approach to Modelling Prosody in Context
2021
·
Zack Hodari
, Alexis Moinet
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
21
PDF
Attributing modelling errors in HMM synthesis by stepping gradually from natural to modelled speech
2015
·
Thomas Merritt
, Javier Latorre
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
17
Comprehensive Evaluation of Statistical Speech Waveform Synthesis
2018
·
Thomas Merritt
, Bartosz Putrycz
, et al.
·
IEEE Spoken Language Technology Workshop (SLT)
·
14
PDF
Investigating source and filter contributions, and their interaction, to statistical parametric speech synthesis
2014
·
Thomas Merritt
, Tuomo Raitio
, et al.
·
Interspeech (USB)
·
14
Creating New Voices using Normalizing Flows
2022
·
Piotr Bilinski
, Thomas Merritt
, et al.
·
Interspeech (USB)
·
10
PDF
Robust universal neural vocoding
2018
·
Jaime Lorenzo-Trueba
, Thomas Drugman
, et al.
·
arXiv (Cornell University)
·
10
Text-Free Non-Parallel Many-To-Many Voice Conversion Using Normalising Flow
2022
·
Thomas Merritt
, Abdelhamid Ezzerg
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
9
Investigating the shortcomings of HMM synthesis
2013
·
Thomas Merritt
, Simon King
·
9
GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion
2022
·
Magdalena Proszewska
, Grzegorz Beringer
, et al.
·
Interspeech (USB)
·
7
PDF
Towards achieving robust universal neural vocoding
2018
·
Lorenzo-Trueba, Jaime
, Drugman, Thomas
, et al.
·
arXiv (Cornell University)
·
7
PDF
Expressive, Variable, and Controllable Duration Modelling in TTS
2022
·
Syed Ammar Abbas
, Thomas Merritt
, et al.
·
Interspeech (USB)
·
6
Deep neural network context embeddings for model selection in rich-context HMM synthesis
2015
·
Thomas Merritt
, Junichi Yamagishi
, et al.
·
Interspeech (USB)
·
6
AE-Flow: Autoencoder Normalizing Flow
2023
·
Jakub Mosiński
, Piotr Biliński
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
4
PDF
The CSTR entry to the Blizzard Challenge 2016
2016
·
Thomas Merritt
, Srikanth Ronanki
, et al.
·
The Blizzard Challenge
·
4
Listening test materials for "Deep neural network context embeddings for model selection in rich-context HMM synthesis"
2015
·
Merritt, Thomas
·
Edinburgh Research Explorer (University of Edinburgh)
·
3
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Works count:
40
Citation count:
669
H-index:
14
I10-index:
16
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