An Improvement of HSMM-Based Speech Synthesis by Duration-Dependent State Transition Probabilities

2009 ◽  
pp. 621-629 ◽  
Author(s):  
Jing Tao ◽  
Wenju Liu
Keyword(s):  
Speech Synthesis ◽  
State Transition ◽  
Transition Probabilities ◽  
Dependent State

scholarly journals A Hidden Semi-Markov Model with Duration-Dependent State Transition Probabilities for Prognostics

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Ning Wang ◽  
Shu-dong Sun ◽  
Zhi-qiang Cai ◽  
Shuai Zhang ◽  
Can Saygin
Keyword(s):  
Markov Model ◽  
State Transition ◽  
Markov Models ◽  
Transition Probabilities ◽  
Independence Assumption ◽  
Modeling And Analysis ◽  
Maintenance Systems ◽  
Dependent State ◽  
Real World Problems

Realistic prognostic tools are essential for effective condition-based maintenance systems. In this paper, a Duration-Dependent Hidden Semi-Markov Model (DD-HSMM) is proposed, which overcomes the shortcomings of traditional Hidden Markov Models (HMM), including the Hidden Semi-Markov Model (HSMM): (1) it allows explicit modeling of state transition probabilities between the states; (2) it relaxes observations’ independence assumption by accommodating a connection between consecutive observations; and (3) it does not follow the unrealistic Markov chain’s memoryless assumption and therefore it provides a more powerful modeling and analysis capability for real world problems. To facilitate the computation of the proposed DD-HSMM methodology, new forward-backward algorithm is developed. The demonstration and evaluation of the proposed methodology is carried out through a case study. The experimental results show that the DD-HSMM methodology is effective for equipment health monitoring and management.

scholarly journals Stimulus-Dependent State Transition between Synchronized Oscillation and Randomly Repetitive Burst in a Model Cerebellar Granular Layer

2011 ◽  
Vol 7 (7) ◽  
pp. e1002087 ◽  
Author(s):  
Takeru Honda ◽  
Tadashi Yamazaki ◽  
Shigeru Tanaka ◽  
Soichi Nagao ◽  
Tetsuro Nishino
Keyword(s):  
Granular Layer ◽  
State Transition ◽  
Dependent State
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