Gustav Eje Henter
Titre
Citée par
Citée par
Année
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
632016
Adapting and Controlling DNN-based Speech Synthesis Using Input Codes
HT Luong, S Takaki, GE Henter, J Yamagishi
Acoustics, Speech and Signal Processing (ICASSP), IEEE International …, 2017
582017
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
Investigating different representations for modeling and controlling multiple emotions in DNN-based speech synthesis
J Lorenzo-Trueba, GE Henter, S Takaki, J Yamagishi, Y Morino, Y Ochiai
Speech Communication 99, 135-143, 2018
37*2018
Robust TTS duration modelling using DNNs
GE Henter, S Ronanki, O Watts, M Wester, Z Wu, S King
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
352016
Gaussian process dynamical models for nonparametric speech representation and synthesis
GE Henter, MR Frean, WB Kleijn
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
322012
Are we using enough listeners? No!—an empirically-supported critique of Interspeech 2014 TTS evaluations
M Wester, C Valentini-Botinhao, GE Henter
Sixteenth Annual Conference of the International Speech Communication …, 2015
292015
Analyzing input and output representations for speech-driven gesture generation
T Kucherenko, D Hasegawa, GE Henter, N Kaneko, H Kjellström
Proceedings of the 19th ACM International Conference on Intelligent Virtual …, 2019
282019
Maximizing phoneme recognition accuracy for enhanced speech intelligibility in noise
PN Petkov, GE Henter, WB Kleijn
IEEE transactions on audio, speech, and language processing 21 (5), 1035-1045, 2013
282013
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis
GE Henter, J Lorenzo-Trueba, X Wang, J Yamagishi
arXiv preprint arXiv:1807.11470, 2018
272018
Principles for Learning Controllable TTS from Annotated and Latent Variation
GE Henter, J Lorenzo-Trueba, X Wang, J Yamagishi
Interspeech, 3956-3960, 2017
162017
A Template-Based Approach for Speech Synthesis Intonation Generation Using LSTMs
S Ronanki, GE Henter, Z Wu, S King
Interspeech, 2463-2467, 2016
162016
Median-based generation of synthetic speech durations using a non-parametric approach
S Ronanki, O Watts, S King, GE Henter
2016 IEEE Spoken Language Technology Workshop (SLT), 686-692, 2016
132016
Testing the consistency assumption: Pronunciation variant forced alignment in read and spontaneous speech synthesis
R Dall, S Brognaux, K Richmond, C Valentini-Botinhao, GE Henter, ...
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
13*2016
Consensus-based sequence training for video captioning
S Phan, GE Henter, Y Miyao, S Satoh
arXiv preprint arXiv:1712.09532, 2017
122017
Casting to Corpus: Segmenting and Selecting Spontaneous Dialogue for TTS with a CNN-LSTM Speaker-dependent Breath Detector
É Székely, GE Henter, J Gustafson
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
92019
Spontaneous conversational speech synthesis from found data
É Székely, GE Henter, J Beskow, J Gustafson
Proc. Interspeech 2019, 4435-4439, 2019
92019
Bayesian analysis of phoneme confusion matrices
A Leijon, GE Henter, M Dahlquist
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (3), 469-482, 2016
9*2016
A Flexible Front-End for HTS
MP Aylett, R Dall, A Ghoshal, GE Henter, T Merritt
Proc. Interspeech, 2014
92014
MoGlow: Probabilistic and controllable motion synthesis using normalising flows
GE Henter, S Alexanderson, J Beskow
arXiv preprint arXiv:1905.06598, 2019
82019
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20