Javier Latorre
Javier Latorre
Verified email at
Cited by
Cited by
Statistical parametric speech synthesis based on speaker and language factorization
H Zen, N Braunschweiler, S Buchholz, MJF Gales, K Knill, S Krstulovic, ...
IEEE transactions on audio, speech, and language processing 20 (6), 1713-1724, 2012
Crowdsourcing preference tests, and how to detect cheating
S Buchholz, J Latorre
Twelfth Annual Conference of the International Speech Communication Association, 2011
Towards achieving robust universal neural vocoding
J Lorenzo-Trueba, T Drugman, J Latorre, T Merritt, B Putrycz, ...
arXiv preprint arXiv:1811.06292, 2018
Unsupervised clustering of emotion and voice styles for expressive TTS
F Eyben, S Buchholz, N Braunschweiler, J Latorre, V Wan, MJF Gales, ...
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
New approach to the polyglot speech generation by means of an HMM-based speaker adaptable synthesizer
J Latorre, K Iwano, S Furui
Speech Communication 48 (10), 1227-1242, 2006
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
Multilevel parametric-base F0 model for speech synthesis.
J Latorre, M Akamine
Interspeech, 2274-2277, 2008
Polyglot synthesis using a mixture of monolingual corpora
J Latorre, K Iwano, S Furui
Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005
An experimental comparison of multiple vocoder types
Q Hu, K Richmond, J Yamagishi, J Latorre
Eighth ISCA Workshop on Speech Synthesis, 2013
Speech factorization for HMM-TTS based on cluster adaptive training.
J Latorre, V Wan, MJF Gales, L Chen, KK Chin, K Knill, M Akamine
Interspeech, 971-974, 2012
Exploring Rich Expressive Information from Audiobook Data Using Cluster Adaptive Training.
L Chen, MJF Gales, V Wan, J Latorre, M Akamine
INTERSPEECH, 959-962, 2012
Photo-realistic expressive text to talking head synthesis.
V Wan, R Anderson, A Blokland, N Braunschweiler, L Chen, BK Kolluru, ...
INTERSPEECH, 2667-2669, 2013
Continuous F0 in the source-excitation generation for HMM-based TTS: Do we need voiced/unvoiced classification?
J Latorre, MJF Gales, S Buchholz, K Knill, M Tamura, Y Ohtani, ...
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
Crowdsourced assessment of speech synthesis
S Buchholz, J Latorre, K Yanagisawa
Crowdsourcing for Speech Processing: Applications to Data Collection …, 2013
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
Combining multiple high quality corpora for improving HMM-TTS.
V Wan, J Latorre, KK Chin, L Chen, MJF Gales, H Zen, K Knill, M Akamine
INTERSPEECH, 1135-1138, 2012
C2H: A Computational Model of H&H-based Phonetic Contrast in Synthetic Speech.
M Nicolao, J Latorre, RK Moore
Interspeech, 987-990, 2012
An investigation of the application of dynamic sinusoidal models to statistical parametric speech synthesis.
Q Hu, Y Stylianou, R Maia, K Richmond, J Yamagishi, J Latorre
Interspeech, 780-784, 2014
Speech synthesizer, speech synthesizing method and program product
J Latorre, M Akamine
US Patent 8,494,856, 2013
Proteno: Text normalization with limited data for fast deployment in text to speech systems
S Tyagi, A Bonafonte, J Lorenzo-Trueba, J Latorre
arXiv preprint arXiv:2104.07777, 2021
The system can't perform the operation now. Try again later.
Articles 1–20