Keyword : context clustering


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)

Implementation and Evaluation of an HMM-Based Korean Speech Synthesis System
Sang-Jin KIM Jong-Jin KIM Minsoo HAHN 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2006/03/01
Vol. E89-D  No. 3 ; pp. 1116-1119
Type of Manuscript:  Special Section LETTER (Special Section on Statistical Modeling for Speech Processing)
Category: 
Keyword: 
HMM-based speech synthesisspeech synthesisHMMcontext clusteringKorean
 Summary | Full Text:PDF(413.8KB)

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)

A Training Method of Average Voice Model for HMM-Based Speech Synthesis
Junichi YAMAGISHI Masatsune TAMURA Takashi MASUKO Keiichi TOKUDA Takao KOBAYASHI 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2003/08/01
Vol. E86-A  No. 8 ; pp. 1956-1963
Type of Manuscript:  Special Section PAPER (Special Section on Digital Signal Processing)
Category: 
Keyword: 
decision treecontext clusteringspeaker adaptationspeaker adaptive trainingaverage voice modelHMM-based speech synthesis
 Summary | Full Text:PDF(599.3KB)

A Context Clustering Technique for Average Voice Models
Junichi YAMAGISHI Masatsune TAMURA Takashi MASUKO Keiichi TOKUDA Takao KOBAYASHI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2003/03/01
Vol. E86-D  No. 3 ; pp. 534-542
Type of Manuscript:  Special Section PAPER (Special Issue on Speech Information Processing)
Category: Speech Synthesis and Prosody
Keyword: 
decision treecontext clusteringaverage voice modelHMM-based speech synthesisspeaker independent model
 Summary | Full Text:PDF(752.9KB)