원문정보
초록
영어
This paper presents an expected technique of speech recognition system and it relates to voice control of electromechanical application, especially voice controlled mobile robots or intelligent wheelchair for handicapped people. Our aim is to interact with the robot using natural and direct communication techniques. The aim of this Chapter is that how the voice can be processed to obtain proper and safe wheelchair movement by high recognition rate. In order to make voice an effective communication tool between human and robots, high speech recognition rate must be achieved. But one hundred percent speech recognition rate under a general environment is almost difficult to achieve. In this Chapter, proposed technique called (Multiregdilet transform) is used for lonely words recognition. Finally use the outputs of neural network (NNT) to control the wheelchair through computer note books and special interface hardware. A successful recognition rate of 98% was achieved.
목차
1. Introduction
2. System Design
2.1 Data Base of Speech
2.2 Multirighelet Transform
3. Neural Network
3.1 The Model of Neural Network
4. General Procedure of Proposed Systems
4.1 The Preprocessing:
4.2 Classification:
4.3 Computation:
5. Experimental Work
5.1 Weight of Wheelchair
5.2 Wheelchair Battery
5.3 Wheels
5.4 Motors
6. Hardware Components Added to Original Wheelchair
6.1 Microphone
6.2 Relay Driver Interfacing Circuit
7. Results Simulation
7.1 Experimental Results
7.2 Linear Path
7.3 Circular Path
8. Conclusion
References