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Summary Discussion on Computational Audition

Summary Discussion on Computational Audition. Led by DeLiang Wang. A Comparison between Vision and Audition. Auditory features: Frequency, spectrum Pitch Location Onset/offset Motion (Doppler effect) Texture? AM/FM Rhythm, duration. Visual features: Color/luminance Orientation

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Summary Discussion on Computational Audition

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  1. Summary Discussion on Computational Audition Led by DeLiang Wang

  2. A Comparison between Vision and Audition • Auditory features: • Frequency, spectrum • Pitch • Location • Onset/offset • Motion (Doppler effect) • Texture? • AM/FM • Rhythm, duration • Visual features: • Color/luminance • Orientation • Location • Depth • Motion • Texture • Size and shape

  3. A Feature Integration Theory for ASA? • Adapted from Treisman’86

  4. 10 Big Problems in Computational Audition? • Modeling and classification of natural sound sources • Emphasis on non-speech, non-music environmental sounds • Target detection in auditory scenes • Monaural segregation of unvoiced speech • Multicue integration for auditory scene analysis • Double-integration problem • Neural substrate of auditory scene analysis • Sound localization and location-based source segregation • With two sensors • Rapid adaptation to acoustic environment • Echo and reverberation • Sound motion analysis (Demo: ) • Sound texture analysis ( ) • Event tracking/prediction • Rhythm • Sequential pattern analysis • Role of attention

  5. Computational Audition • A field of study, like computational vision?

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