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ORCIDJavier Latorre
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2020 – today
- 2024
[i5]Deepanshu Gupta, Javier Latorre:
Positional Description for Numerical Normalization. CoRR abs/2408.12430 (2024)- 2023
- [c31]Tuomo Raitio, Javier Latorre, Andrea Davis, Tuuli Morrill, Ladan Golipour:
Improving the quality of neural TTS using long-form content and multi-speaker multi-style modeling. SSW 2023: 144-149 - 2021
- [c30]Shubhi Tyagi, Antonio Bonafonte, Jaime Lorenzo-Trueba, Javier Latorre:
Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems. NAACL-HLT (Industry Papers) 2021: 72-79 - [c29]Roman Korostik, Javier Latorre, Sivanand Achanta, Yannis Stylianou:
Assessing Speaker Interpolation in Neural Text-to-Speech. SPECOM 2021: 360-371 - [c28]Javier Latorre, Charlotte Bailleul, Tuuli Morrill, Alistair Conkie, Yannis Stylianou:
Combining speakers of multiple languages to improve quality of neural voices. SSW 2021: 37-42 - [i4]Shubhi Tyagi, Antonio Bonafonte, Jaime Lorenzo-Trueba, Javier Latorre:
Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems. CoRR abs/2104.07777 (2021) - [i3]Javier Latorre, Charlotte Bailleul, Tuuli Morrill, Alistair Conkie, Yannis Stylianou:
Combining speakers of multiple languages to improve quality of neural voices. CoRR abs/2108.07737 (2021)
2010 – 2019
- 2019
- [c27]Javier Latorre, Jakub Lachowicz, Jaime Lorenzo-Trueba, Thomas Merritt, Thomas Drugman, Srikanth Ronanki, Viacheslav Klimkov:
Effect of Data Reduction on Sequence-to-sequence Neural TTS. ICASSP 2019: 7075-7079 - [c26]Jaime Lorenzo-Trueba, Thomas Drugman, Javier Latorre, Thomas Merritt, Bartosz Putrycz, Roberto Barra-Chicote, Alexis Moinet, Vatsal Aggarwal:
Towards Achieving Robust Universal Neural Vocoding. INTERSPEECH 2019: 181-185 - 2018
- [i2]Jaime Lorenzo-Trueba, Thomas Drugman, Javier Latorre, Thomas Merritt, Bartosz Putrycz, Roberto Barra-Chicote:
Robust universal neural vocoding. CoRR abs/1811.06292 (2018) - [i1]Javier Latorre, Jakub Lachowicz, Jaime Lorenzo-Trueba, Thomas Merritt, Thomas Drugman, Srikanth Ronanki, Klimkov Viacheslav:
Effect of data reduction on sequence-to-sequence neural TTS. CoRR abs/1811.06315 (2018) - 2015
- [c25]Thomas Merritt, Javier Latorre, Simon King:
Attributing modelling errors in HMM synthesis by stepping gradually from natural to modelled speech. ICASSP 2015: 4220-4224 - 2014
- [j3]Vincent Wan, Javier Latorre, Kayoko Yanagisawa, Norbert Braunschweiler, Langzhou Chen, Mark J. F. Gales, Masami Akamine:
Building HMM-TTS Voices on Diverse Data. IEEE J. Sel. Top. Signal Process. 8(2): 296-306 (2014) - [c24]Vincent Wan, Javier Latorre, Kayoko Yanagisawa, Mark J. F. Gales, Yannis Stylianou:
Cluster adaptive training of average voice models. ICASSP 2014: 280-284 - [c23]Qiong Hu, Yannis Stylianou, Korin Richmond
, Ranniery Maia, Junichi Yamagishi, Javier Latorre:
A fixed dimension and perceptually based dynamic sinusoidal model of speech. ICASSP 2014: 6270-6274 - [c22]Qiong Hu, Yannis Stylianou, Ranniery Maia, Korin Richmond, Junichi Yamagishi, Javier Latorre:
An investigation of the application of dynamic sinusoidal models to statistical parametric speech synthesis. INTERSPEECH 2014: 780-784 - [c21]BalaKrishna Kolluru, Vincent Wan, Javier Latorre, Kayoko Yanagisawa, Mark J. F. Gales:
Generating multiple-accent pronunciations for TTS using joint sequence model interpolation. INTERSPEECH 2014: 1273-1277 - [c20]Javier Latorre, Vincent Wan, Kayoko Yanagisawa:
Voice expression conversion with factorised HMM-TTS models. INTERSPEECH 2014: 1514-1518 - [c19]Javier Latorre, Kayoko Yanagisawa, Vincent Wan, BalaKrishna Kolluru, Mark J. F. Gales:
Speech intonation for TTS: study on evaluation methodology. INTERSPEECH 2014: 2957-2961 - 2013
- [c18]Javier Latorre, Mark J. F. Gales, Kate M. Knill, Masami Akamine:
Training a supra-segmental parametric F0 model without interpolating F0. ICASSP 2013: 6880-6884 - [c17]Vincent Wan, Robert Anderson, Art Blokland, Norbert Braunschweiler, Langzhou Chen, BalaKrishna Kolluru, Javier Latorre, Ranniery Maia, Björn Stenger, Kayoko Yanagisawa, Yannis Stylianou, Masami Akamine, Mark J. F. Gales, Roberto Cipolla:
Photo-realistic expressive text to talking head synthesis. INTERSPEECH 2013: 2667-2669 - [c16]Kayoko Yanagisawa, Javier Latorre, Vincent Wan, Mark J. F. Gales, Simon King:
Noise robustness in HMM-TTS speaker adaptation. SSW 2013: 119-124 - [c15]Qiong Hu, Korin Richmond, Junichi Yamagishi, Javier Latorre:
An experimental comparison of multiple vocoder types. SSW 2013: 135-140 - 2012
- [j2]Heiga Zen, Norbert Braunschweiler, Sabine Buchholz, Mark J. F. Gales, Kate M. Knill, Sacha Krstulovic, Javier Latorre:
Statistical Parametric Speech Synthesis Based on Speaker and Language Factorization. IEEE Trans. Speech Audio Process. 20(6): 1713-1724 (2012) - [c14]Florian Eyben, Sabine Buchholz, Norbert Braunschweiler, Javier Latorre, Vincent Wan, Mark J. F. Gales, Kate M. Knill:
Unsupervised clustering of emotion and voice styles for expressive TTS. ICASSP 2012: 4009-4012 - [c13]Langzhou Chen, Mark J. F. Gales, Vincent Wan, Javier Latorre, Masami Akamine:
Exploring Rich Expressive Information from Audiobook Data Using Cluster Adaptive Training. INTERSPEECH 2012: 959-962 - [c12]Javier Latorre, Vincent Wan, Mark J. F. Gales, Langzhou Chen, K. K. Chin, Kate M. Knill, Masami Akamine:
Speech factorization for HMM-TTS based on cluster adaptive training. INTERSPEECH 2012: 971-974 - [c11]Mauro Nicolao, Javier Latorre, Roger K. Moore:
C2H: A Computational Model of H&H-based Phonetic Contrast in Synthetic Speech. INTERSPEECH 2012: 987-990 - [c10]Vincent Wan, Javier Latorre, K. K. Chin, Langzhou Chen, Mark J. F. Gales, Heiga Zen, Kate M. Knill, Masami Akamine:
Combining multiple high quality corpora for improving HMM-TTS. INTERSPEECH 2012: 1135-1138 - 2011
- [c9]Javier Latorre, Mark J. F. Gales, Sabine Buchholz, Kate M. Knill, Masatsune Tamura, Yamato Ohtani, Masami Akamine:
Continuous F0 in the source-excitation generation for HMM-based TTS: Do we need voiced/unvoiced classification? ICASSP 2011: 4724-4727 - [c8]Sabine Buchholz, Javier Latorre:
Crowdsourcing Preference Tests, and How to Detect Cheating. INTERSPEECH 2011: 3053-3056 - 2010
- [c7]Javier Latorre, Mark J. F. Gales, Heiga Zen:
Training a parametric-based logF0 model with the minimum generation error criterion. INTERSPEECH 2010: 2174-2177 - [c6]Heiga Zen, Norbert Braunschweiler, Sabine Buchholz, Kate M. Knill, Sacha Krstulovic, Javier Latorre:
HMM-based polyglot speech synthesis by speaker and language adaptive training. SSW 2010: 186-191
2000 – 2009
- 2009
- [c5]Javier Latorre, Sergio Gracia, Masami Akamine:
Feedback loop for prosody prediction in concatenative speech synthesis. INTERSPEECH 2009: 2067-2070 - 2008
- [c4]Javier Latorre, Masami Akamine:
Multilevel parametric-base F0 model for speech synthesis. INTERSPEECH 2008: 2274-2277 - 2007
- [c3]Javier Latorre, Koji Iwano, Sadaoki Furui:
Combining Gaussian Mixture Model with Global Variance Term to Improve the Quality of an HMM-Based Polyglot Speech Synthesizer. ICASSP (4) 2007: 1241-1244 - 2006
- [j1]Javier Latorre, Koji Iwano, Sadaoki Furui:
New approach to the polyglot speech generation by means of an HMM-based speaker adaptable synthesizer. Speech Commun. 48(10): 1227-1242 (2006) - 2005
- [c2]Javier Latorre, Koji Iwano, Sadaoki Furui:
Polyglot Synthesis Using a Mixture of Monolingual Corpora. ICASSP (1) 2005: 1-4 - [c1]Javier Latorre, Koji Iwano, Sadaoki Furui:
Cross-language synthesis with a polyglot synthesizer. INTERSPEECH 2005: 1477-1480
Coauthor Index
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