Visualizing music and audio using self-similarity
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Repeating pattern discovery and structure analysis from acoustic music data
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Content-based music structure analysis with applications to music semantics understanding
Proceedings of the 12th annual ACM international conference on Multimedia
Automated analysis of musical structure
Automated analysis of musical structure
Music summarization using key phrases
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Analysis of the meter of acoustic musical signals
IEEE Transactions on Audio, Speech, and Language Processing
Audio thumbnailing of popular music using chroma-based representations
IEEE Transactions on Multimedia
Music structure analysis using a probabilistic fitness measure and a greedy search algorithm
IEEE Transactions on Audio, Speech, and Language Processing
Music information retrieval using social tags and audio
IEEE Transactions on Multimedia - Special section on communities and media computing
Using quadratic programming to estimate feature relevance in structural analyses of music
Proceedings of the 21st ACM international conference on Multimedia
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The structure of a musical piece can be described with segments having a certain time range and a label. Segments having the same label are considered as occurrences of a certain structural part. Here, a system for finding structural descriptions is presented. Theproblemisformulated in terms of a cost function for structural descriptions. A method for creating multiple candidate descriptions from acoustic input signal is presented, and an efficient algorithm is presented to find the optimal description with regard to the cost function from the candidate set. The analysis system is evaluated with simulations on a database of 50 popular music pieces.