Document Details

Document Type : Project 
Document Title :
Hidden Markov model/Gaussian mixture models (HMM/GMM) based voice command system: A way to improve the control of remotely operated robot arm TR45
نموذج ماركوف المخفي / نماذج خليط غاوسي (HMM / GMM) نظام الأوامر الصوتية القائم: طريقة ل تحسين السيطرة على ذراع الروبوت تعمل عن بعد TR4
 
Subject : operated robot arm 
Document Language : English 
Abstract : A speech control system for a didactic manipulator arm TR45 is designed as an agent in a telemanipulator system command. Robust Hidden Markov Model (HMM) and Gaussian Mixture models (GMM) are applied in spotted words recognition system with Cepstral coefficients with energy and differentials as features. The HMM and GMM are used independently in automatic speech recognition agent to detect spotted words and recognize them. A decision block will generate the appropriate command and send it to a parallel port of the Personal Computer (PC). To implement the approach on a real-time application, a PC parallel port interface was designed to control the movement of robot motors using a wireless communication component. The user can control the movements of robot arm using a normal speech containing spotted words. 
Publishing Year : 1432 AH
2011 AD 
Number Of Pages : 10 
Sponsor Name : Scientific Research and Essays 
Sponsorship Year : 1432 AH
2011 AD 
Added Date : Sunday, March 24, 2019 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
إبراهيم م العمريAlemary, Ibrahiem MInvestigatorDoctorateOmary57@hotmail.com

Files

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 44071.pdf pdf 

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