Understanding music with AI: perspectives on music cognition
Understanding music with AI: perspectives on music cognition
Visualizing music and audio using self-similarity
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
The Computer Music Tutorial
Music summarization using key phrases
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Discovering nontrivial repeating patterns in music data
IEEE Transactions on Multimedia
Music thumbnailing via structural analysis
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Music structure based vector space retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Similarity matrix processing for music structure analysis
Proceedings of the 1st ACM workshop on Audio and music computing multimedia
Structural and semantic modeling of audio for content-based querying and browsing
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
A self-similarity approach to repairing large dropouts of streamed music
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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A musical piece typically has a repetitive structure. Analysis of this structure will be useful for music segmentation, indexing and thumbnailing. This paper presents an algorithm that can automatically analyze the repetitive structure of musical signals. First, the algorithm detects the repetitions of each segment of fixed length in a piece using dynamic programming. Second, the algorithm summarizes this repetition information and infers the structure based on heuristic rules. The performance of the approach is demonstrated visually using figures for qualitative evaluation, and by two structural similarity measures for quantitative evaluation. Based on the structural analysis result, this paper also proposes a method for music thumbnailing. The preliminary results obtained using a corpus of Beatles' songs show that automatic structural analysis and thumbnailing of music are possible.