Fernando Villavicencio
Title
Cited by
Cited by
Year
The Voice Conversion Challenge 2016.
T Toda, LH Chen, D Saito, F Villavicencio, M Wester, Z Wu, J Yamagishi
Interspeech, 1632-1636, 2016
1132016
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
1122018
Improving LPC spectral envelope extraction of voiced speech by true-envelope estimation
F Villavicencio, A Robel, X Rodet
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 …, 2006
802006
On cepstral and all-pole based spectral envelope modeling with unknown model order
A Röbel, F Villavicencio, X Rodet
Pattern Recognition Letters 28 (11), 1343-1350, 2007
712007
Applying voice conversion to concatenative singing-voice synthesis.
F Villavicencio, J Bonada
Interspeech, 2162-2165, 2010
552010
Voice liveness detection algorithms based on pop noise caused by human breath for automatic speaker verification.
S Shiota, F Villavicencio, J Yamagishi, N Ono, I Echizen, T Matsui
INTERSPEECH, 239-243, 2015
402015
Applying improved spectral modeling for high quality voice conversion
F Villavicencio, A Robel, X Rodet
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE …, 2009
242009
Voice liveness detection for speaker verification based on a tandem single/double-channel pop noise detector
S Shiota, F Villavicencio, J Yamagishi, N Ono, I Echizen, T Matsui
Odyssey 2016, 259-263, 2016
212016
Extending efficient spectral envelope modeling to mel-frequency based representation
F Villavicencio, A Robel, X Rodet
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE …, 2008
182008
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
132018
All-Pole Spectral Envelope Modelling with Order Selection for Harmonic Signals.
F Villavicencio, A Röbel, X Rodet
ICASSP (1), 49-51, 2007
102007
The Voice Conversion Challenge, 2016: multidimensional scaling (MDS) listening test results
T Toda, D Saito, F Villavicencio, J Yamagishi, M Wester, Z Wu, LH Chen
University of Edinburgh. School of Informatics. Centre for Speech Technology …, 2016
9*2016
GMM-PCA based speaker-timbre conversion on full-quality speech.
F Villavicencio, E Maestre
SSW, 56-61, 2010
72010
Observation-Model Error Compensation for Enhanced Spectral Envelope Transformation in Voice Conversion
F Villavicencio, J Bonada, Y Hisaminato
International Workshop of Machine Learning for Signal Processing (MLSP 2015), 2015
52015
Efficient Pitch Estimation on Natural Opera-Singing by a Spectral Correlation based Strategy
F Villavicencio, J Bonada, J Yamagishi, M Pucher
IEICE Technical Report, 2015
42015
Voice processing apparatus
F Villavicencio, J Bonada
US Patent App. 13/896,192, 2013
42013
Vivos Voco: A survey of recent research on voice transformation at IRCAM
P Lanchantin, S Farner, C Veaux, G Degottex, N Obin, G Beller, ...
International Conf on Digital Audio Effects, 277-285, 2011
42011
The Voice Conversion Challenge 2018: database and results
T Toda, D Saito, Z Ling, F Villavicencio, J Yamagishi, J Lorenzo-Trueba, ...
The Centre for Speech Technology Research, The University of Edinburgh, UK, 2018
32018
Advances on pattern recognition for speech and audio processing
RC Guido, JC Pereira, JFW Slaets, X He, L Deng, JW Shin, JH Chang, ...
Pattern Recognition Letters 28 (11), 1283-1284, 2007
32007
Development of a statistical parametric synthesis system for operatic singing in German
M Pucher, F Villavicencio, J Yamagishi
9th ISCA Speech Synthesis Workshop}, 64-69, 2016
22016
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