Group members
Luke Makischuk
Abderahmane Sebaa
Ameneh Sadat Yazdaninik
Asma Faizi
Professor: R Habash
TA: Wei Yang
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 patterncomparison 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.
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

http://cslu.cse.ogi.edu/HLTsurvey/ch1node7.html
Work distribution

Asma and Ameneh -Voice recognition
research/algorithm and report writeup

Abderahmane and Luke-Matlab coding
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
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
Program block diagram
Voice command
F.T
Frequency
Spectrum
Compare with
stored voice
commands
No
Minimum
Do they
distancee?
match?
yes
command
Fourier transform
Speech Signal (time domain)
Frequency domain
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.

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.
Continue

The programmed commands:
Microcontroller
processor
command
001
010
011
100
101
110
Straight forward
fast
Straight forward
middle
Straight forward
slow
Turn right
Turn left
Straight
backwards
111
Or 000
Perfect stop
System diagram
Motor control
Results
Correct
Incorrect
Stop
10
0
Move Forward
9
1
Move Backwards 9
1
Turn Right
10
0
Turn Left
9
1
94 % accurate
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

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

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.
Thank you for your time
any Questions?