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On the Use of Phonetic Information for Mapping from Articulatory Movements to Vocal Tract Spectrum

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006, Vol.1, p.I-I

2006

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Product of Experts for Statistical Parametric Speech Synthesis

IEEE transactions on audio, speech, and language processing, 2012-03, Vol.20 (3), p.794-805

2012

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Pitch adaptive training for hmm-based singing voice synthesis

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, p.5377-5380

2012

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A Bayesian approach to HMM-based speech synthesis

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, p.4029-4032

2009

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Face recognition based on extended separable lattice 2-D HMMS

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, p.2209-2212

2012

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Factor analyzed voice models for HMM-based speech synthesis

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, p.4234-4237

2010

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A model structure integration based on a Bayesian framework for speech recognition

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, p.4813-4816

2012

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Face recognition based on separable lattice 2-D HMMS using variational bayesian method

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, p.2205-2208

2012

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A Fully Consistent Hidden Semi-Markov Model-Based Speech Recognition System

IEICE Transactions on Information and Systems, 2008/11/01, Vol.E91.D(11), pp.2693-2700

2008

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Normalized training for HMM-based visual speech recognition

Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2000, Vol.3, p.234-237 vol.3

2000

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Acoustic modeling with contextual additive structure for HMM-based speech recognition

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, p.4469-4472

2008

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Stereo-based stochastic noise compensation based on trajectory GMMS

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, p.4577-4580

2009

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Voice conversion based on simultaneous modelling of spectrum and F0

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, p.3897-3900

2009

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Face Recognition using Hidden Markov Eigenface Models

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007, Vol.2, p.II-469-II-472

2007

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Deterministic Annealing EM Algorithm in Acoustic Modeling for Speaker and Speech Recognition

IEICE transactions on information and systems, 2005-03, Vol.E88-D (3), p.425-431

ITAYA, Y.

2005

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Parameter Sharing in Mixture of Factor Analyzers for Speaker Identification

IEICE transactions on information and systems, 2005-03, Vol.E88-D (3), p.418-424

YAMAMOTO, H.

2005

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Applying Sparse KPCA for Feature Extraction in Speech Recognition

IEICE transactions on information and systems, 2005-03, Vol.E88-D (3), p.401-409

LIMA, A.

2005

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Continuous Speech Recognition Based on General Factor Dependent Acoustic Models

IEICE transactions on information and systems, 2005-03, Vol.E88-D (3), p.410-417

SUZUKI, H.

2005

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Hidden Semi-Markov Model Based Speech Recognition System using Weighted Finite-State Transducer

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006, Vol.1, p.I-I

2006

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Face Recognition Based on Separable Lattice HMMS

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006, Vol.5, p.V-V

2006

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Estimating Trajectory Hmm Parameters Using Monte Carlo Em With Gibbs Sampler

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006, Vol.1, p.I-I

2006

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Sparse KPCA for feature extraction in speech recognition

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005, 2005, Vol.1, p.I/353-I/356 Vol. 1

2005

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Parameter sharing and minimum classification error training of mixtures of factor analyzers for speaker identification

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004, Vol.1, p.I-29

2004

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Cross-lingual speaker adaptation for HMM-based speech synthesis considering differences between language-dependent average voices

IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010, p.605-608

2010

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Speech recognition using voice-characteristic-dependent acoustic models

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03), 2003, Vol.1, p.I-I

2003

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On the Use of Phonetic Information for Mapping from Articulatory Movements to Vocal Tract Spectrum

Product of Experts for Statistical Parametric Speech Synthesis

Pitch adaptive training for hmm-based singing voice synthesis

A Bayesian approach to HMM-based speech synthesis

Face recognition based on extended separable lattice 2-D HMMS

Factor analyzed voice models for HMM-based speech synthesis

A model structure integration based on a Bayesian framework for speech recognition

Face recognition based on separable lattice 2-D HMMS using variational bayesian method

A Fully Consistent Hidden Semi-Markov Model-Based Speech Recognition System

Normalized training for HMM-based visual speech recognition

Acoustic modeling with contextual additive structure for HMM-based speech recognition

Stereo-based stochastic noise compensation based on trajectory GMMS

Voice conversion based on simultaneous modelling of spectrum and F0

Face Recognition using Hidden Markov Eigenface Models

Deterministic Annealing EM Algorithm in Acoustic Modeling for Speaker and Speech Recognition

Parameter Sharing in Mixture of Factor Analyzers for Speaker Identification

Applying Sparse KPCA for Feature Extraction in Speech Recognition

Continuous Speech Recognition Based on General Factor Dependent Acoustic Models

Hidden Semi-Markov Model Based Speech Recognition System using Weighted Finite-State Transducer

Face Recognition Based on Separable Lattice HMMS

Estimating Trajectory Hmm Parameters Using Monte Carlo Em With Gibbs Sampler

Sparse KPCA for feature extraction in speech recognition

Parameter sharing and minimum classification error training of mixtures of factor analyzers for speaker identification

Cross-lingual speaker adaptation for HMM-based speech synthesis considering differences between language-dependent average voices

Speech recognition using voice-characteristic-dependent acoustic models

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