scholarly journals Development of Autonomous Mobile Robot with Speech Teaching Command Recognition System Based on Hidden Markov Model

2007 ◽  
Vol 13 (8) ◽  
pp. 726-734
Keyword(s):  
Mobile Robot ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Recognition System ◽  
Autonomous Mobile Robot

Non-intrusive gesture recognition system combining with face detection based on Hidden Markov Model

2014 ◽  
Author(s):  
Jing Jin ◽  
Yuanqing Wang ◽  
Liujing Xu ◽  
Liqun Cao ◽  
Lei Han ◽  
...  
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Face Detection ◽  
Gesture Recognition ◽  
Hidden Markov ◽  
Recognition System

scholarly journals The New Technique Enhancing of Automatic Speech Recognition System for ODIA Language using HTK Based On Hidden Markov Model (HMM)

2020 ◽  
Vol 9 (1) ◽  
pp. 2182-2187
Keyword(s):  
Speech Recognition ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Recognition System ◽  
Speech Recognition System ◽  
Single Word ◽  
Automatic Speech Recognition System ◽  
Java Application ◽  
Regional Language

The purpose of this paper is to address the application to an Indian Regional Language, ODIA of a single word Automatically Speech Recognition System (ASRS). The toolkit is based on Hidden Markov Model (HMM). The details was obtained from 8 ODIA Language speakers. The program is then qualified for 205 different terms in ODIA. Samples from six separate speakers have again been obtained. This is then evaluated in real time. A GUI has been created to enhance the system's interactivity. We used and introduced the test framework for development of the GUI JAVA application. A comprehensive model of an ASR framework was developed to explain each HTK resource using HTK library modules and software. The findings of the experiment indicate that the overall machine efficiency is 93.45%.

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