1. Ameneh Sadat Yazdaninik
Group members
Luke Makischuk
Abderahmane Sebaa
Ameneh Sadat Yazdaninik
Asma Faizi
Professor: R Habash
TA: Wei Yang

2. Introduction
The purpose of our project was to implement an efficient voice recognition algorithm and improve upon the idea’s from the IEEE paper:
“Speech Recognition and Its Application in Voice-based Robot Control System” by Luo Zhizeng and Zhao Jinghing, August 2004
In the article, they used a technique called pattern-comparison to implement the voice recognition which is very complex.
We came up with a simpler way to implement the voice recognition using Matlab and we also expanded more on how you would go about controlling the robot using Bluetooth technology along with motor control of the robot.

3. References
“Speech Recognition and Its Application in Voice-based Robot Control System” by Luo Zhizeng and Zhao Jinghing, August 2004
“A dynamic-time-warp integrated circuit for a 1000-word speech recognition system” Kavaler, R.A.; Lowy, M.; Murveit, H.; Brodersen, R.W, Volume 22,  Issue 1,  Feb 1987
“Significance of the Modified Group Delay Feature in Speech Recognition” Rajesh M. Hegde; Hema A. Murthy; Venkata Ramana Rao Gadde; Volume 15,  Issue 1,  Jan. 2007
Lawrence Rabiner, Biing-Hwangluang, Fundomenrols Of Speech Recognition, Qinghua Press, 1999

4. Work distribution
Asma and Ameneh -Voice recognition research/algorithm and report writeup
Abderahmane and Luke-Matlab coding

5. Voice recognition All done using Matlab Recognized voice commands:
Stop
Turn Left
Turn Right
Move Forward
Move Backwards
Only works with one person’s voice but can easily be trained to work with anyone's voice

6. Voice recognition How it works Record voice command (Time domain)
Transform into frequency domain using Fourier Transform and get the magnitude spectrum
Compare spectrum of voice commands

7. Program block diagram

8. Fourier transform
Speech Signal (time domain) Frequency domain

9. Communication with a robot
The efficient way to communicate with robot is using Bluetooth.
We connect the Bluetooth to the serial port at the back of the PC to transmit to the robot.
For receiving, we connect a receiver module to the robot.

10. Continue
The robot receives the input commands from the Bluetooth transmitter which is a 3 bit digital signal. Then, if the input commands are matched to the program, the robot moves based on state given. Otherwise, the robot will not respond to the given command.

11. Continue
The programmed commands:

12. System diagram

13. Motor control

14. Results Correct Incorrect Stop 10 Move Forward 9 1 Move Backwards
Move Forward 9 1
Move Backwards
Turn Right
Turn Left
94 % accurate

15. Limitations
The amount of words that could be recognized by our program was limited, the more words we tried adding, the less accurate it became
The voice recognition program only works for the person’s voice who is trained for it
Program is less accurate in noisy environments
Bluetooth is an expensive technology to implement

16. Advantages Simple algorithm used for voice recognition
Easy to train a person’s voice
Accurate
Bluetooth is very fast and efficient
Voice commands are a very easy way to control a robot

17. Conclusion
For small vocabulary applications, the method of using the Fourier transform based speech recognition is more suitable then the other complex algorithms for it is easy to implement and has a high accuracy rate.

18. Thank you for your time
any Questions?