Abstract
This paper presents a method to identify segment boundaries in music. The method is based on a multi-step model; first a features is measured from the audio, then a measure of rhythm is calculated from the feature, the diagonal of a self-similarity matrix is calculated, and finally the segment boundaries are found on a smoothed novelty measure, calculated from 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.
Original language | English |
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Book series | Lecture Notes in Computer Science |
Volume | 3310 |
Pages (from-to) | 83-95 |
Number of pages | 12 |
ISSN | 0302-9743 |
Publication status | Published - 2005 |