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Real-Time Emotion Detection from Audio: An Innovative Approach

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idania
10 diapositives · 207 Views · Jul 26, 2014

Explore the development of an adaptable online virtual tutoring system capable of determining human emotions from audio files in real time. Learn about the research on basic emotions, frequency analysis, and future work for differentiating mixed emotions.

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  1. DeterminingEmotionFrom Audio Analysis Kevin Gross Dr. Jie Yan Bowie State University

  2. Table Of Contents • Goals and Introduction • Audio AnalysisResearch • Project Research • Demonstration of FrequencyPlotting • Future Work • Project Summary • Sources Used

  3. Goals and Introduction Adaptable online virtual tutoring system that displays realistic human emotions Complete online quiz capabilities (with virtual quiz feedback) Automatic virtual help Develop a system that allows automatic real-time emotional determination from audio files

  4. Audio AnalysisResearch 6 Basic Emotions: anger, surprise, disgust, sadness, happiness, fear Frequency separates unlike emotions Take audio file and translate it into a sequence of frequencies Use of Discrete Fourier Transformation to convert from time domain into the frequency domain

  5. Project Research Determination of Basic Emotion Description What we hear when listening to people speak Fundamental Frequency Speaking Intensity Speaking Rhythm

  6. Demonstration of FrequencyPlottingCont. sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss Description of “Hello” Audio File

  7. Project Research Cont. Methodology Avg Freq. Freq. Range DFT I’m so happy because we won!

  8. Future Work • Differentiate between similar frequency emotions • Determine mixed emotions • Ensure real-time analysis

  9. Project Summary Develop a system to determine emotion from audio content Primary determining factor: frequency Secondary determining factors: speaking rate, speaking intensity Use of DFT to determine frequency of audio file, average the frequency values, and compare to range Determination of complex emotions Real-time capabilities for analyzing emotions

  10. Sources Used Special Thanks Dr. Jie Yan Ruth Agada MadhuriSomarapu Bowie State University’s Dept. Of Computer Science -WHERE DID THE ANGER GO? THE ROLE OF CONTEXT IN INTERPRETING EMOTION IN SPEECH. Richard T. Cauldwell EISU, Department of English The University of Birmingham http://www.speechinaction.net/pdf%20files/Where_did_the_anger_go.pdf -Assessment in Speech-Language Pathology: A Resource Manual By Kenneth G. Shipley, Julie G. McAfee Journal of Object Technology: The Discrete Fourier Transform, Part 1 by Douglas Lyon, Vol. 8, No. 3, May-June 2009 -http://jvalentino2.tripod.com/dft/index.html