Visualizing music and audio using self-similarity
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Mixxx: towards novel DJ interfaces
NIME '03 Proceedings of the 2003 conference on New interfaces for musical expression
Multiple scale music segmentation using rhythm, timbre, and harmony
EURASIP Journal on Applied Signal Processing
Retrieving and Recreating Musical Form
Computer Music Modeling and Retrieval. Sense of Sounds
| Hi-index | 0.00 |
This paper presents a method to identify segment boundaries in music. The method is based on a hierarchical model; first a features is measured from the audio, then a measure of rhythm is calculated from the feature (the rhythmogram), the diagonal of a self-similarity matrix is calculated from the rhythmogram, and finally the segment boundaries are found on a smoothed novelty measure, calculated from the diagonal of the self-similarity matrix. All the steps of the model have been accompanied with an informal evaluation, and the final system is tested on a variety of rhythmic songs with good results. The paper introduces a new feature that is shown to work significantly better than previously used features, a robust rhythm model and a robust, relatively cheap method to identify structure from the novelty measure.