TY  - CHAP
AU  - Tomoki Toda
ED  - Przemyslaw Dymarski
Y1  - 2011-04-19
PY  - 2011
T1  - Modeling of Speech Parameter Sequence Considering Global Variance for HMM-Based Speech Synthesis
N2  - Hidden Markov Models (HMMs), although known for decades, have made a big career nowadays and are still in state of development. This book presents theoretical issues and a variety of HMMs applications in speech recognition and synthesis, medicine, neurosciences, computational biology, bioinformatics, seismology, environment protection and engineering. I hope that the reader will find this book useful and helpful for their own research.
BT  - Hidden Markov Models
SP  - Ch. 6
UR  - https://doi.org/10.5772/14009
DO  - 10.5772/14009
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-05-01
ER  -