A Study on the Labor Market Entry and Quality of Job Trajectories of People with Disabilities - Employment Trajectory Classification and Group Comparisons Using Hidden Markov Model -

2021 ◽  
Vol 73 (3) ◽  
pp. 61-89
Author(s):  
Beop-Rae Roh ◽  
Yeongmin Mun
Keyword(s):  
Labor Market ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Market Entry ◽  
Hidden Markov ◽  
People With Disabilities ◽  
Trajectory Classification ◽  
Labor Market Entry ◽  
Group Comparisons

Using the hidden Markov model to capture quality of care in Lombardy geriatric wards

2015 ◽  
Vol 7 ◽  
pp. 103-110 ◽  
Author(s):  
Hannah Mitchell ◽  
Adele H. Marshall ◽  
Mariangela Zenga
Keyword(s):  
Quality Of Care ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov

scholarly journals Performing Text – To – Speech based Hidden Markov Model on Digital Signal Processing platform

2014 ◽  
Vol 17 (1) ◽  
pp. 32-38
Author(s):  
Nhat Truong Minh Vu ◽  
Binh Hieu Nguyen ◽  
Nhat Minh Pham ◽  
Thuan Huu Huynh ◽  
Tu Trong Bui ◽  
...  
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Hardware Implementation ◽  
Hidden Markov ◽  
Digital Signal ◽  
Text To Speech ◽  
Processing Platform

Text To Speech (TTS) using Hidden Markov Model (HMM) has become popular in recent years. However, because most of such systems were implemented on personal computers (PCs), it is difficult to offer these systems to real applications. In this paper, we present a hardware implementation of TTS based on DSP architecture, which is applicable for real applications. By optimizing hardware architecture, the quality of the DSP-based synthesized speech is nearly identical to that synthesized on PCs.

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