This program is tentative and subject to change.
In this assignment, students develop a program to create a music visualizer using the MinMax algorithm. A music visualizer synchronizes graphical effects with audio playback, adding motion, color, and energy to the music. The MinMax algorithm, widely used in platforms like Spotify, Apple Music, and ffmpeg, is a key to generating such visualizations.
The program reads an audio file, stores the audio samples in an array, and then divides the samples into k groups. For each group, the program calculates the maximum absolute value of a sample and displays it as a vertical bar. This produces a dynamic, real-time visual representation of the audio file, synchronized with the audio playback.
Kevin Wayne is the Phillip Y. Goldman University Lecturer in Computer Science at Princeton University, where he has been teaching since 1998. He has co-developed (with Robert Sedgewick) two of the most popular courses at Princeton (COS 126 and COS 226); co-authored several award-winning textbooks for students and practitioners; co-designed four free MOOCs on Coursera, with over 2 million enrolled students; and authored or co-authored seven nifty assignments. He directs a summer program aimed at broadening participation in computer science by historically under-represented groups. He was named a Distinguished Educator by the ACM in 2014.
This program is tentative and subject to change.
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13:45 - 15:00 | |||
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