ROBOT CONTROL WITH VOICE

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Presentation transcript:

ROBOT CONTROL WITH VOICE ROBOTICS PROJECT ROBOT CONTROL WITH VOICE MEHMET ALİ ARABACI SAİT KAÇMAZ 8/14/2019

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 8/14/2019

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 8/14/2019

What kind of Recognizer will be used in the project? Speaker Dependent Isolated Word Small Size 8/14/2019

Techniques used for Speech Recognition Acoustic-Phonetic Approach Pattern Recognition Approach Artificial Intelligence Approach 8/14/2019

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 8/14/2019

Disadvantages of Pattern Recognition Performance of the sensitivity of the system depends on the amount of training data available Sensitive to the enviroment 8/14/2019

Advantages of Pattern Recognition Simplier to realize compared to Acoustic-Phonetic and Artificial Intelligence Approach No specific knowledge of speech is required 8/14/2019

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) 8/14/2019

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 8/14/2019

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 http://murray.newcastle.edu.au/users/staff/speech/home_pages/tutorial_sr.html http://www.otolith.com/otolith/olt/lpc.html 8/14/2019