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Speech Processing

Speech Processing. Applications of Images and Signals in High Schools. AEGIS RET All-Hands Meeting Florida Institute of Technology July 6, 2012. Contributors. Dr . Veton Këpuska , Faculty Mentor, FIT vkepuska@fit.edu Jacob Zurasky , Graduate Student Mentor, FIT jzuraksy@my.fit.edu

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Speech Processing

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  1. Speech Processing Applications of Images and Signals in High Schools AEGIS RET All-Hands Meeting Florida Institute of Technology July 6, 2012

  2. Contributors Dr. VetonKëpuska, Faculty Mentor, FIT vkepuska@fit.edu Jacob Zurasky, Graduate Student Mentor, FIT jzuraksy@my.fit.edu Becky Dowell, RET Teacher, BPS Titusville High dowell.jeanie@brevardschools.org

  3. Motivation • Timeline / Background – need to add this • Difficulties • Siri demo

  4. Motivation • Speech audio processing has increased in its usefulness. • Applications • Siri on iPhone 4S • Automated telephone systems • Voice transcription (e.g. dictation software) • Hands-free computing (e.g., OnStar) • Video games (e.g., XBOX Kinect) • Military applications (e.g., aircraft control) • Healthcare applications

  5. Motivation • Speech recognition requires speech to first be characterized by a set of “features”. • Features are used to determine what words are spoken. • Our project implements the feature extraction stage of a speech processing application.

  6. Speech Recognition Front End: Pre-processing Back End: Recognition Features Recognized speech Speech Large amount of data. Ex: 256 samples Reduced data size. Ex: 13 features • Front End – reduce amount of data for back end, but keep enough data to accurately describe the signal. Output is feature vector. • 256 samples ------> 13 features • Back End - statistical models used to classify feature vectors as a certain sound in speech

  7. Front-End Processing of Speech Recognizer • Pre-emphasis • Window • FFT • Mel-Scale • log • IFFT

  8. Speech Analysis Project • Added GUI • Allow user to record audio or input audio from a sound file • Displays graph of the audio • User can click on graph to select speech frame • Processes speech frame and displays output for each state of processing • Displays spectrogram

  9. GUI Components

  10. GUI Components Plotting Axes

  11. Buttons GUI Components Plotting Axes

  12. Future Work • Improve GUI • Audio Effects • Noise Filtering

  13. References • Ingle, Vinay K., and John G. Proakis. Digital signal processing using MATLAB. 2nd ed. Toronto, Ont.: Nelson, 2007. • Oppenheim, Alan V., and Ronald W. Schafer. Discrete-time signal processing. 3rd ed. Upper Saddle River: Pearson, 2010. • Weeks, Michael. Digital signal processing using MATLAB and wavelets. Hingham,Mass.: Infinity Science Press, 2007.

  14. Thank you! Questions?

  15. Unit Plan

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