Group members

1

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

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Introduction

• The purpose of our project was to implement an
  efficient voice recognition algorithm and improve
  upon the ideas 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
• http//cslu.cse.ogi.edu/HLTsurvey/ch1node7.html

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Work distribution

• Asma and Ameneh -Voice recognition
  research/algorithm and report writeup
• Abderahmane and Luke-Matlab coding

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Voice recognition

• All done using Matlab
• Recognized voice commands
• Stop
• Turn Left
• Turn Right
• Move Forward
• Move Backwards
• Only works with one persons voice but can easily
  be trained to work with anyone's voice

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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

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Program block diagram
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Fourier transform
Speech Signal (time domain)
Frequency domain
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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.

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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.

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Continue

• The programmed commands

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System diagram
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Motor control
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Results
Correct Incorrect
Stop 10 0
Move Forward 9 1
Move Backwards 9 1
Turn Right 10 0
Turn Left 9 1
94 accurate
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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
  persons voice who is trained for it
• Program is less accurate in noisy environments
• Bluetooth is an expensive technology to implement

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Advantages

• Simple algorithm used for voice recognition
• Easy to train a persons voice
• Accurate
• Bluetooth is very fast and efficient
• Voice commands are a very easy way to control a
  robot

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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.

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• Thank you for your time
• any Questions?