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Raul Fernandez
Raul Fernandez
IBM Research AI
Verified email at us.ibm.com
Title
Cited by
Cited by
Year
Frustrating the user on purpose: a step toward building an affective computer
J Scheirer, R Fernandez, J Klein, RW Picard
Interacting with computers 14 (2), 93-118, 2002
5162002
Modeling drivers’ speech under stress
R Fernandez, RW Picard
Speech communication 40 (1-2), 145-159, 2003
3102003
The IBM expressive text-to-speech synthesis system for American English
JF Pitrelli, R Bakis, EM Eide, R Fernandez, W Hamza, MA Picheny
IEEE Transactions on Audio, Speech, and Language Processing 14 (4), 1099-1108, 2006
1722006
Prosody contour prediction with long short-term memory, bi-directional, deep recurrent neural networks.
R Fernandez, A Rendel, B Ramabhadran, R Hoory
Interspeech, 2268-2272, 2014
1392014
A computational model for the automatic recognition of affect in speech
R Fernandez
Massachusetts Institute of Technology, 2004
1362004
Classical and novel discriminant features for affect recognition from speech.
R Fernandez, RW Picard
Interspeech, 473-476, 2005
1042005
Frustrating the user on purpose: Using biosignals in a pilot study to detect the user's emotional state
J Riseberg, J Klein, R Fernandez, RW Picard
CHI 98 conference summary on Human factors in computing systems, 227-228, 1998
981998
Dialog act classification from prosodic features using support vector machines
R Fernandez, RW Picard
Speech Prosody 2002, International Conference, 2002
832002
Recognizing affect from speech prosody using hierarchical graphical models
R Fernandez, R Picard
Speech Communication 53 (9-10), 1088-1103, 2011
502011
F0 contour prediction with a deep belief network-Gaussian process hybrid model
R Fernandez, A Rendel, B Ramabhadran, R Hoory
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
492013
Using deep bidirectional recurrent neural networks for prosodic-target prediction in a unit-selection text-to-speech system
R Fernandez, A Rendel, B Ramabhadran, R Hoory
Sixteenth Annual Conference of the International Speech Communication …, 2015
462015
Data Augmentation Improves Recognition of Foreign Accented Speech.
T Fukuda, R Fernandez, A Rosenberg, S Thomas, B Ramabhadran, ...
Interspeech, 2409-2413, 2018
372018
Using continuous lexical embeddings to improve symbolic-prosody prediction in a text-to-speech front-end
A Rendel, R Fernandez, R Hoory, B Ramabhadran
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
352016
Modeling phrasing and prominence using deep recurrent learning
A Rosenberg, R Fernandez, B Ramabhadran
Sixteenth Annual Conference of the International Speech Communication …, 2015
332015
Automatic exploration of corpus-specific properties for expressive text-to-speech: a case study in emphasis.
R Fernandez, B Ramabhadran
SSW, 34-39, 2007
272007
Method, apparatus and computer program product providing prosodic-categorical enhancement to phrase-spliced text-to-speech synthesis
E Eide, R Fernandez, J Pitrelli, M Viswanathan
US Patent App. 11/212,432, 2007
252007
An autoencoder neural-network based low-dimensionality approach to excitation modeling for HMM-based text-to-speech
S Vishnubhotla, R Fernandez, B Ramabhadran
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
242010
Discriminative training and unsupervised adaptation for labeling prosodic events with limited training data
R Fernandez, B Ramabhadran
Eleventh Annual Conference of the International Speech Communication Association, 2010
222010
Phrase boundary assignment from text in multiple domains
A Rosenberg, R Fernandez, B Ramabhadran
Thirteenth Annual Conference of the International Speech Communication …, 2012
172012
Supervised and unsupervised approaches for controlling narrow lexical focus in sequence-to-sequence speech synthesis
S Shechtman, R Fernandez, D Haws
2021 IEEE Spoken Language Technology Workshop (SLT), 431-437, 2021
162021
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