Robotic arm control using voice signal
A voice-based system has been developed to control a robot arm using oral commands. The system is divided into two main components: speech recognition engine and robotic control unit. In the speech recognition engine, a microphone is used to record the voice samples from the speakers. From the reco...
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Universiti Malaysia Perlis
2008
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my.unimap-38112008-12-31T07:08:57Z Robotic arm control using voice signal Norulhuda Daud Paul Raj MP, P.M. Dr. (Advisor) Robots -- Design and construction Robotics Voice control robot Neural networks (Computer science) Robot controller A voice-based system has been developed to control a robot arm using oral commands. The system is divided into two main components: speech recognition engine and robotic control unit. In the speech recognition engine, a microphone is used to record the voice samples from the speakers. From the recorded speech signals, the formant frequencies are computed and used as features for training the neural network. A simple neural network model is developed to associate the input features and the output voice sample. After the recognition of speech or voice signal, the control signal is gave through microcontroller to control the robot arm. The developed controller is based on a neural network system. 2008-12-31T07:08:57Z 2008-12-31T07:08:57Z 2008-04 Learning Object http://hdl.handle.net/123456789/3811 en Universiti Malaysia Perlis School of Mechatronic Engineering |
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Robots -- Design and construction Robotics Voice control robot Neural networks (Computer science) Robot controller |
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Robots -- Design and construction Robotics Voice control robot Neural networks (Computer science) Robot controller Norulhuda Daud Robotic arm control using voice signal |
description |
A voice-based system has been developed to control a robot arm using oral commands. The system is divided into two main components: speech recognition engine and robotic control unit. In the speech recognition engine, a microphone is used to record
the voice samples from the speakers. From the recorded speech signals, the formant
frequencies are computed and used as features for training the neural network. A simple neural network model is developed to associate the input features and the output voice sample. After the recognition of speech or voice signal, the control signal is gave through microcontroller to control the robot arm. The developed controller is based on a neural network system. |
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Paul Raj MP, P.M. Dr. (Advisor) |
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Paul Raj MP, P.M. Dr. (Advisor) Norulhuda Daud |
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Learning Object |
author |
Norulhuda Daud |
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Norulhuda Daud |
title |
Robotic arm control using voice signal |
title_short |
Robotic arm control using voice signal |
title_full |
Robotic arm control using voice signal |
title_fullStr |
Robotic arm control using voice signal |
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Robotic arm control using voice signal |
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robotic arm control using voice signal |
publisher |
Universiti Malaysia Perlis |
publishDate |
2008 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/3811 |
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1643787946522836992 |
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13.222552 |