H. Lindsay-Smith, S. Mcdonald, and M. Sandler, “User Driven, Local Model, Reclassification of Drum Loop Audio Slices,” in Proc. AES Convention 130, May 2011, Paper 8356. [Online]. Available: https://aes.org/publications/elibrary-page/?id=15823
Lindsay-Smith H, Mcdonald S, Sandler M. User Driven, Local Model, Reclassification of Drum Loop Audio Slices. In: AES Convention 130. Audio Engineering Society; 2011. Paper 8356. Available from: https://aes.org/publications/elibrary-page/?id=15823
@inproceedings{LindsaySmith2011_15823,
author = {Lindsay-Smith, Henry and Mcdonald, Skot and Sandler, Mark},
title = {{User Driven, Local Model, Reclassification of Drum Loop Audio Slices}},
booktitle = {AES Convention 130},
note = {Paper 8356},
year = {2011},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=15823}
}
TY - CPAPER
TI - User Driven, Local Model, Reclassification of Drum Loop Audio Slices
AU - Lindsay-Smith, Henry
AU - Mcdonald, Skot
AU - Sandler, Mark
T2 - AES Convention 130
M1 - Paper 8356
PY - 2011
DA - 2011/05/06
UR - https://aes.org/publications/elibrary-page/?id=15823
PB - Audio Engineering Society
LA - en
AB - We present a method for significantly improving the results of drum loop slice classification. An onset detector is used to slice loops of percussion only audio. Low level features are extracted from the audio slices and the slices are classified into one of seven percussion classes by a previously trained PART decision table. This general classification algorithm shows only an adequate performance. The user is then allowed to correct incorrect classifications. Each corrected classification is combined with a subset of the original classifications and a nearest neighbour algorithm reclassifies the remaining slices according to the corrected local model. The resultant algorithm converges on a 100\% correct solution, with nearly 40% fewer re-classifications than a non-assisted approach.
ER -