Visualizing music and audio using self-similarity
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Performance visualization: a new challenge to music through visualization
Proceedings of the tenth ACM international conference on Multimedia
Misual: music visualization based on acoustic data
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Music visualization: predicting the perceived speed of a composition -- misual project --
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services
Creating and evaluating a particle system for music visualization
Journal of Visual Languages and Computing
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This paper proposes a method to identify and visualize repetitive structures in music in PCM format using a similarity matrix. The Hough transform is used on the matrix to identify repetitions in a tune. Identified structures are visualized on an image called misual. Misual is a colored cylinder of a varying diameter, where colors represent repetitions and the diameter represents volume changes. The performance of the identification and visualization is evaluated with well-known classical tunes. Misual shows not only the dominant repetitions but also repeated patterns which can not be easily recognized while listening to a tune or reading its score. By revealing these patterns, misual gives a new point of view for musical structure analysis and at the same time gives people a new way to appreciate music.