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Vocal Joystick A New Dimension in Human-Machine Interaction

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Vocal Joystick A New Dimension in Human-Machine Interaction ET 2 Presentation Group 3 ... vowel classification and discrete sound recognition take place. – PowerPoint PPT presentation

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Title: Vocal Joystick A New Dimension in Human-Machine Interaction


1
Vocal JoystickA New Dimension in Human-Machine
Interaction
  • ET 2 Presentation
  • Group 3
  • Jeremy Moody, Carrie Chudy

2
Introduction
  • A new technology is emerging in the software
    area of information technology.
  • This emerging technology is called Vocal
    Joystick and will bring new light to the way we
    operate computers.

3
What Is It?
  • Vocal Joystick is software that will enable
    individuals with motor impairments to control
    objects on a computer screen and ultimately
    electro-mechanical instruments simply by using
    vocal parameters.
  • www.sciencentral.com/articles/view.php3?typeartic
    learticle_id218393030

4
Who Uses It?
  • Vocal Joysticks primary user is anyone with a
    physical impairment that limits the use of their
    arms and hands.
  • There are many people who have perfect use of
    their voice who dont have use of their hands
    and arms. -Jeffrey Bilmes, Creator
  • However, Vocal Joystick software will be
    increasingly useful for everyday computer
    operators.

5
How Does It Work?
  • Vocal Joystick utilizes three main components
  • Acoustic signal processing
  • Pattern recognition
  • Motion control
  • Translates verbal cues into directional movements.

6
Acoustic Signal Processing
  • The signal processing module extracts short-term
    acoustic features
  • Energy
  • Autocorrelation coefficients
  • Linear prediction coefficients
  • Mel frequency cepstral coefficients (MFCC)
  • Signal conditioning and analysis techniques are
    needed for accurate estimation of these features

7
Pattern Recognition
  • The features are then directed into the pattern
    recognition module where energy smoothing, pitch
    and formant tracking, vowel classification and
    discrete sound recognition take place.
  • This stage involves statistical learning
    techniques such as neural networks and dynamic
    Bayesian networks.

8
Motion Control
  • Energy, pitch, vowel quality and discrete sound
    become acoustic parameters to be transformed into
    direction, speed and other motion related
    parameters.
  • These motion control parameters are then used to
    launch corresponding actions.

9
Engine Diagram
10
Vowel Corpus
  • The Vocal Joystick vowel corpus represents the
    sounds used to control the movements of the
    mouse.
  • Vocalic signals are used with manipulations of
    pitch and intensity for variation.

11
Vocal Corpus (contd)
  • Detects sounds 100 times a second
  • Users are able to transition smoothly from one
    vowel to another unlike in speech recognition.
  • Louder sounds make the cursor move faster.

12
Applications
  • Browsing the Web
  • Drawing on a screen
  • Controlling a cursor
  • Operating a robotic arm
  • In the future, Vocal Joystick is optimistic about
    its use to control an electronic wheelchair.

13
Conclusion
  • Vocal Joystick is an amazingly beneficial
    Emerging Technology that will have a major
    impact on the Information Technology world.
  • With simply a microphone, a computer with a
    standard sound card and a user who can vocalize,
    anyone can utilize Vocal Joystick!

14
References
  • http//www.sciencentral.com/articles/view.php3?typ
    earticlearticle_id218393030
  • http//seattletimes.nwsource.com/html/businesstech
    nology/2008231288_btjoystick06.html
  • http//ssli.ee.washington.edu/vj/

15
References (contd)
  • http//ssli.ee.washington.edu/vj/engine.htm
  • http//ssli.ee.washington.edu/vj/corpus.html
  • http//www.yubanet.com/artman/publish/article_6748
    1.shtml
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