1. AudioViz Angela Norton and Aaron Hilton

2. Summary of AudioViz  Allow user to visually match spectral auditory patterns within an audio stream  Decompose sound into a bank of frequencies  Visualize events on a modified spectral analysis display  dominant and cluster frequencies, attack, sustain, decay, and slides (transitions)

3. Planned Visualization Time Range Selection Bar Spectral Display Recognizer Events Peaks Display Recognizer Graph

4. Planned Visualization Selected Range Current Time Marker Hover for more Info

5. Changes to Original Design  Rescoping of solution  Team members left  Too much complexity for resources  Clustering, instrument recognition dropped  Auditory event detection

6. Current Status  FFT Spectral display with placeholder data  Zooming and panning

7. Challenges  Creating graphical user interface  Positioning graphical elements (eg. rangebar controls)  Managing OpenGL textures (solved)  Integrating Marsyas into project  Marsyas: audio processing/analysis library  Background processing of audio data