Jaime Lorenzo-Trueba
Jaime Lorenzo-Trueba
Assembly AI
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The voice conversion challenge 2018: Promoting development of parallel and nonparallel methods
J Lorenzo-Trueba, J Yamagishi, T Toda, D Saito, F Villavicencio, ...
arXiv preprint arXiv:1804.04262, 2018
High-quality nonparallel voice conversion based on cycle-consistent adversarial network
F Fang, J Yamagishi, I Echizen, J Lorenzo-Trueba
2018 IEEE International conference on acoustics, speech and signal …, 2018
Towards achieving robust universal neural vocoding
J Lorenzo-Trueba, T Drugman, J Latorre, T Merritt, B Putrycz, ...
arXiv preprint arXiv:1811.06292v2, 2019
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
Can we steal your vocal identity from the Internet?: Initial investigation of cloning Obama's voice using GAN, WaveNet and low-quality found data
J Lorenzo-Trueba, F Fang, X Wang, I Echizen, J Yamagishi, T Kinnunen
arXiv preprint arXiv:1803.00860, 2018
A comparison of recent waveform generation and acoustic modeling methods for neural-network-based speech synthesis
X Wang, J Lorenzo-Trueba, S Takaki, L Juvela, J Yamagishi
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
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
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
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
Segmenting human activities based on HMMs using smartphone inertial sensors
R San-Segundo, J Lorenzo-Trueba, B Martínez-González, JM Pardo
Pervasive and Mobile Computing 30, 84-96, 2016
Principles for learning controllable TTS from annotated and latent variation
G Henter, J Lorenzo-Trueba, X Wang, J Yamagishi
Interspeech 2017, 3956-3960, 2017
Using vaes and normalizing flows for one-shot text-to-speech synthesis of expressive speech
V Aggarwal, M Cotescu, N Prateek, J Lorenzo-Trueba, R Barra-Chicote
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Dynamic prosody generation for speech synthesis using linguistics-driven acoustic embedding selection
S Tyagi, M Nicolis, J Rohnke, T Drugman, J Lorenzo-Trueba
arXiv preprint arXiv:1912.00955, 2019
Emotion transplantation through adaptation in HMM-based speech synthesis
J Lorenzo-Trueba, R Barra-Chicote, R San-Segundo, J Ferreiros, ...
Computer Speech & Language 34 (1), 292-307, 2015
Voice conversion for whispered speech synthesis
M Cotescu, T Drugman, G Huybrechts, J Lorenzo-Trueba, A Moinet
IEEE Signal Processing Letters 27, 186-190, 2019
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
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
Computer-assisted pronunciation training—Speech synthesis is almost all you need
D Korzekwa, J Lorenzo-Trueba, T Drugman, B Kostek
Speech Communication 142, 22-33, 2022
A spoofing benchmark for the 2018 voice conversion challenge: Leveraging from spoofing countermeasures for speech artifact assessment
T Kinnunen, J Lorenzo-Trueba, J Yamagishi, T Toda, D Saito, ...
arXiv preprint arXiv:1804.08438, 2018
Towards speaking style transplantation in speech synthesis
J Lorenzo Trueba, R Barra Chicote, J Yamagishi, O Watts, ...
Telecomunicacion, 2013
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