Keyword : maximum likelihood linear regression (MLLR)

Smoothing Method for Improved Minimum Phone Error Linear Regression
Yaohui QI Fuping PAN Fengpei GE Qingwei ZHAO Yonghong YAN 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2014/08/01
Vol. E97-D  No. 8 ; pp. 2105-2113
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
speaker adaptation (SA), maximum likelihood linear regression (MLLR), maximum a posteriori linear regression (MAPLR), minimum phone error linear regression (MPELR), discriminative maximum a posteriori linear regression (DMAPLR), 
 Summary | Full Text:PDF(789.4KB)
Average-Voice-Based Speech Synthesis Using HSMM-Based Speaker Adaptation and Adaptive Training
Junichi YAMAGISHI Takao KOBAYASHI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2007/02/01
Vol. E90-D  No. 2 ; pp. 533-543
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
HMM-based speech synthesis, speaker adaptation, speaker adaptive training (SAT), hidden semi-Markov model (HSMM), maximum likelihood linear regression (MLLR), voice conversion, 
 Summary | Full Text:PDF(731.1KB)
A Style Adaptation Technique for Speech Synthesis Using HSMM and Suprasegmental Features
Makoto TACHIBANA Junichi YAMAGISHI Takashi MASUKO Takao KOBAYASHI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2006/03/01
Vol. E89-D  No. 3 ; pp. 1092-1099
Type of Manuscript:  Special Section PAPER (Special Section on Statistical Modeling for Speech Processing)
Category: Speech Synthesis
Keyword: 
HMM-based speech synthesis, speaking style, emotional expression, style adaptation, hidden semi-Markov model (HSMM), maximum likelihood linear regression (MLLR), 
 Summary | Full Text:PDF(589.9KB)