Heiga ZEN


Bayesian Context Clustering Using Cross Validation for Speech Recognition
Kei HASHIMOTO Heiga ZEN Yoshihiko NANKAKU Akinobu LEE Keiichi TOKUDA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2011/03/01
Vol. E94-D  No. 3  pp. 668-678
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
Bayesian approachspeech recognitionHMMcontext clusteringcross validation
 Summary | Full Text:PDF(453.4KB)

A Covariance-Tying Technique for HMM-Based Speech Synthesis
Keiichiro OURA Heiga ZEN Yoshihiko NANKAKU Akinobu LEE Keiichi TOKUDA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2010/03/01
Vol. E93-D  No. 3  pp. 595-601
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
HMMspeech synthesisdecision treecontext-clusteringMDL criterionembedded device
 Summary | Full Text:PDF(662.9KB)

A Fully Consistent Hidden Semi-Markov Model-Based Speech Recognition System
Keiichiro OURA Heiga ZEN Yoshihiko NANKAKU Akinobu LEE Keiichi TOKUDA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2008/11/01
Vol. E91-D  No. 11  pp. 2693-2700
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
speech recognitionhidden Markov modelhidden semi-Markov modelweighted finite-state transducer
 Summary | Full Text:PDF(531.3KB)

The Nitech-NAIST HMM-Based Speech Synthesis System for the Blizzard Challenge 2006
Heiga ZEN Tomoki TODA Keiichi TOKUDA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2008/06/01
Vol. E91-D  No. 6  pp. 1764-1773
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
statistical parametric speech synthesisBlizzard Challenge 2006MGC-LSPMLLTfull covariance GV pdf
 Summary | Full Text:PDF(1.4MB)

A Hidden Semi-Markov Model-Based Speech Synthesis System
Heiga ZEN Keiichi TOKUDA Takashi MASUKO Takao KOBAYASIH Tadashi KITAMURA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2007/05/01
Vol. E90-D  No. 5  pp. 825-834
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
hidden Markov modelhidden semi-Markov modelHMM-based speech synthesis
 Summary | Full Text:PDF(452.5KB)

State Duration Modeling for HMM-Based Speech Synthesis
Heiga ZEN Takashi MASUKO Keiichi TOKUDA Takayoshi YOSHIMURA Takao KOBAYASIH Tadashi KITAMURA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2007/03/01
Vol. E90-D  No. 3  pp. 692-693
Type of Manuscript:  LETTER
Category: Speech and Hearing
Keyword: 
duration modelingspeech synthesishidden Markov model
 Summary | Full Text:PDF(54.1KB)

Details of the Nitech HMM-Based Speech Synthesis System for the Blizzard Challenge 2005
Heiga ZEN Tomoki TODA Masaru NAKAMURA Keiichi TOKUDA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2007/01/01
Vol. E90-D  No. 1  pp. 325-333
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
HMM-based speech synthesisBlizzard Challenge 2005STRAIGHTHSMMGV
 Summary | Full Text:PDF(700KB)

Applying Sparse KPCA for Feature Extraction in Speech Recognition
Amaro LIMA Heiga ZEN Yoshihiko NANKAKU Keiichi TOKUDA Tadashi KITAMURA Fernando G. RESENDE 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2005/03/01
Vol. E88-D  No. 3  pp. 401-409
Type of Manuscript:  Special Section PAPER (Special Section on Corpus-Based Speech Technologies)
Category: Feature Extraction and Acoustic Medelings
Keyword: 
kernelsparsityprincipal component analysisfeature extractionspeech recognition
 Summary | Full Text:PDF(582.4KB)

Deterministic Annealing EM Algorithm in Acoustic Modeling for Speaker and Speech Recognition
Yohei ITAYA Heiga ZEN Yoshihiko NANKAKU Chiyomi MIYAJIMA Keiichi TOKUDA Tadashi KITAMURA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2005/03/01
Vol. E88-D  No. 3  pp. 425-431
Type of Manuscript:  Special Section PAPER (Special Section on Corpus-Based Speech Technologies)
Category: Feature Extraction and Acoustic Medelings
Keyword: 
DAEM algorithmacoustic modelingEM algorithmGMMsHMMs
 Summary | Full Text:PDF(680.4KB)

Continuous Speech Recognition Based on General Factor Dependent Acoustic Models
Hiroyuki SUZUKI Heiga ZEN Yoshihiko NANKAKU Chiyomi MIYAJIMA Keiichi TOKUDA Tadashi KITAMURA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2005/03/01
Vol. E88-D  No. 3  pp. 410-417
Type of Manuscript:  Special Section PAPER (Special Section on Corpus-Based Speech Technologies)
Category: Feature Extraction and Acoustic Medelings
Keyword: 
continuous speech recognitiontriphone HMMscontext clusteringBayesian networksvoice characteristicnoise environment
 Summary | Full Text:PDF(487.4KB)

On the Use of Kernel PCA for Feature Extraction in Speech Recognition
Amaro LIMA Heiga ZEN Yoshihiko NANKAKU Chiyomi MIYAJIMA Keiichi TOKUDA Tadashi KITAMURA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2004/12/01
Vol. E87-D  No. 12  pp. 2802-2811
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
kernelfeature spaceprincipal component analysisfeature extractionspeech recognition
 Summary | Full Text:PDF(425.6KB)