A Comparison of Sound Onset Detection Algorithms with Emphasis on Psychoacoustically Motivated Detection Functions

Collins N. A Comparison of Sound Onset Detection Algorithms with Emphasis on Psychoacoustically Motivated Detection Functions. In: AES Convention 118. Audio Engineering Society; 2005.pp. 6363:1-. Available from: https://aes.org/publications/elibrary-page/?id=13079

@inproceedings{Collins2005_13079,
  author = {Collins, Nick},
  title = {{A Comparison of Sound Onset Detection Algorithms with Emphasis on Psychoacoustically Motivated Detection Functions}},
  booktitle = {AES Convention 118},
  pages = {6363:1-},
  year = {2005},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13079}
}

TY  - CPAPER
TI  - A Comparison of Sound Onset Detection Algorithms with Emphasis on Psychoacoustically Motivated Detection Functions
AU  - Collins, Nick
T2  - AES Convention 118
SP  - 1
M1  - Paper 6363
PY  - 2005
DA  - 2005/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13079
PB  - Audio Engineering Society
LA  - en
AB  - A recent review paper by Bello and colleagues [1] compared the performance of a selection of onset detection algorithms, but omitted the psychoacoustically motivated log difference function introduced by Klapuri [4]. This paper addresses that with respect to a number of variants of the Klapuri model, further considering psychoacoustic loudness measures and some other recently published and novel detection functions and peak pickers. The evaluation procedure utilises an extended superset of the database from [1], contrasting non-pitched percussive and pitched non-percussive sound sources. Sixteen detection functions take part in the main trial. Applications are considered in real-time causal systems which react to percussive transients or enable perceptually motivated segmentation. Keywords: Onset Detection, Detection Functions, Peak Picking, Audio Analysis
ER  -