Akinobu LEE


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)

Development, Long-Term Operation and Portability of a Real-Environment Speech-Oriented Guidance System
Tobias CINCAREK Hiromichi KAWANAMI Ryuichi NISIMURA Akinobu LEE Hiroshi SARUWATARI Kiyohiro SHIKANO 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2008/03/01
Vol. E91-D  No. 3  pp. 576-587
Type of Manuscript:  Special Section PAPER (Special Section on Robust Speech Processing in Realistic Environments)
Category: Applications
Keyword: 
real environmentspeech-oriented guidance systemdevelopment simulationportabilityspeech recognizerquestion and answer database
 Summary | Full Text:PDF(906.5KB)

Improving Rapid Unsupervised Speaker Adaptation Based on HMM-Sufficient Statistics in Noisy Environments Using Multi-Template Models
Randy GOMEZ Akinobu LEE Tomoki TODA Hiroshi SARUWATARI Kiyohiro SHIKANO 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2006/03/01
Vol. E89-D  No. 3  pp. 998-1005
Type of Manuscript:  Special Section PAPER (Special Section on Statistical Modeling for Speech Processing)
Category: Speech Recognition
Keyword: 
HMM-Sufficient Statisticsunsupervisedspeaker adaptationnoisy environments
 Summary | Full Text:PDF(940.5KB)