TY - CHAP A1 - Tomoki Toda ED1 - 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 - 2019-11-12 ER -