Automatic Segmentation of Concert Recordings via a Heuristic Approach

Ayers A. Automatic Segmentation of Concert Recordings via a Heuristic Approach. In: AES Convention 134. Audio Engineering Society; 2013. Paper 80. Available from: https://aes.org/publications/elibrary-page/?id=16681

@inproceedings{Ayers2013_16681,
  author = {Ayers, Andrew},
  title = {{Automatic Segmentation of Concert Recordings via a Heuristic Approach}},
  booktitle = {AES Convention 134},
  note = {Paper 80},
  year = {2013},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16681}
}

TY  - CPAPER
TI  - Automatic Segmentation of Concert Recordings via a Heuristic Approach
AU  - Ayers, Andrew
T2  - AES Convention 134
M1  - Paper 80
PY  - 2013
DA  - 2013/05/06
UR  - https://aes.org/publications/elibrary-page/?id=16681
PB  - Audio Engineering Society
LA  - en
AB  - In the age of digital recordings, many institutions maintain large databases of concert recordings. While segmentation of these concert recordings for mastering and production is a time-consuming task for humans, this paper presents a novel heuristic algorithm to automate that process. Building on other work in audio segmentation, technique from the music informatics community is used to detect events, classify them, and segment entire concert recordings unsupervised. A brief review of previous work and the methodology used in this approach are provided, as well as the results obtained on a corpus of sixteen concerts.
ER  -