Finding Repeating Patterns in Acoustic Musical Signals : Applications for Audio Thumbnailing

Aucouturier JJ, Sandler M. Finding Repeating Patterns in Acoustic Musical Signals : Applications for Audio Thumbnailing. In: AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio. Audio Engineering Society; 2002. Paper 000204. Available from: https://aes.org/publications/elibrary-page/?id=11163

@inproceedings{Aucouturier2002_11163,
  author = {Aucouturier, Jean-Julien and Sandler, Mark},
  title = {{Finding Repeating Patterns in Acoustic Musical Signals : Applications for Audio Thumbnailing}},
  booktitle = {AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio},
  note = {Paper 000204},
  year = {2002},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=11163}
}

TY  - CPAPER
TI  - Finding Repeating Patterns in Acoustic Musical Signals : Applications for Audio Thumbnailing
AU  - Aucouturier, Jean-Julien
AU  - Sandler, Mark
T2  - AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio
M1  - Paper 000204
PY  - 2002
DA  - 2002/06/06
UR  - https://aes.org/publications/elibrary-page/?id=11163
PB  - Audio Engineering Society
LA  - en
AB  - Finding structure and repetitions in a musical signal is crucial to enable interactive browsing into large databases of music files. Notably, it is useful to produce short summaries of musical pieces, or "audio thumbnails". In this paper, we propose an algorithm to find repeating patterns in an acoustic musical signal. We first segment the signal into a meaningful succession of timbres. This gives a reduced string representation of the music, the texture score, which doesn't encode any pitch information. We then look for patterns in this representation, using two techniques from image processing: Kernel Convolution and Hough Transform. The resulting patterns are relevant to musical structure, which shows that pitch is not the only useful representation for the structural analysis of polyphonic music.
ER  -