1. ROBOT CONTROL WITH VOICE
ROBOTICS PROJECT
ROBOT CONTROL WITH VOICE
MEHMET ALİ ARABACI
SAİT KAÇMAZ
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2. Aim of the Project
Creating a command list that directs the robot to the desired location
Sending these commands to the robot that uses an RF communication link by using a Speech Recognizer written in MATLAB
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3. Speech Recognizer Types
Number of speakers
Speaker Dependent
Speaker Independent
Nature of Utterance
Isolated Word Recognition
Continuous Word Recognition
Spontaneous Recognition
Vocabulary Size
Small Size Recognizers
Mid-Size Recognizers
Large Vocabulary Size Recognizers
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4. What kind of Recognizer will be used in the project?
Speaker Dependent
Isolated Word
Small Size
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5. Techniques used for Speech Recognition
Acoustic-Phonetic Approach
Pattern Recognition Approach
Artificial Intelligence Approach
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6. Which technique is used in the project and why?
Pattern Recognition Technique is used in the project
Because,
it is simplier to realize compared to Acoustic-Phonetic and AI Approach
Acoustic-Phonetic Approach requires extensive knowledge of acoustic properties of phonetic units.
AI requires an expertise work
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7. Disadvantages of Pattern Recognition
Performance of the sensitivity of the system depends on the amount of training data available
Sensitive to the enviroment
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8. Advantages of Pattern Recognition
Simplier to realize compared to Acoustic-Phonetic and Artificial Intelligence Approach
No specific knowledge of speech is required
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9. Time-Varying Digital Filter
Pattern Recognition
LPC (Linear Predictive Coding)
Impulse
Train Generator
Pitch Period
Random
Noise Generator
Unvoiced/Voiced Switch
u(n) G
Time-Varying Digital Filter
Vocal Tract Parameters
s(n)
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10. Block Diagram of the System
Front-end
Processor
Comparison
Decision
Serial Link
Robot
RF Link
Signal Input
From Microphone
A Simple Block Diagram of the System
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11. References
L.R. Rabiner and B.H. Juang, Fundamentals of Speech Recognition, Prentice-Hall, Englewood Cliffs, N.J., 1993.
“Remote Speaker and Speech Recognition”; Department of Electrical Engineering - University of California, Riverside; Prepared by Isaac Saldana and David Ginsberg
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