J. McKay, M. Gainza, and D. Barry, “Evaluating Ground Truth for ADRess as a Preprocess for Automatic Musical Instrument Identification,” in Proc. AES Convention 126, May 2009, Paper 7816. [Online]. Available: https://aes.org/publications/elibrary-page/?id=15012
McKay J, Gainza M, Barry D. Evaluating Ground Truth for ADRess as a Preprocess for Automatic Musical Instrument Identification. In: AES Convention 126. Audio Engineering Society; 2009. Paper 7816. Available from: https://aes.org/publications/elibrary-page/?id=15012
@inproceedings{McKay2009_15012,
author = {McKay, Joseph and Gainza, Mikel and Barry, Dan},
title = {{Evaluating Ground Truth for ADRess as a Preprocess for Automatic Musical Instrument Identification}},
booktitle = {AES Convention 126},
note = {Paper 7816},
year = {2009},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=15012}
}
TY - CPAPER
TI - Evaluating Ground Truth for ADRess as a Preprocess for Automatic Musical Instrument Identification
AU - McKay, Joseph
AU - Gainza, Mikel
AU - Barry, Dan
T2 - AES Convention 126
M1 - Paper 7816
PY - 2009
DA - 2009/05/06
UR - https://aes.org/publications/elibrary-page/?id=15012
PB - Audio Engineering Society
LA - en
AB - Most research in musical instrument identification has focused on labeling isolated samples or solo phrases. A robust instrument identification system capable of dealing with polytimbral recordings of instruments remains a necessity in music information retrieval. Experiments are described which evaluate the ground truth of ADRess as a sound source separation technique used as a preprocess to automatic musical instrument identification. The ground truth experiments are based on a number of basic acoustic features, while using a Gaussian Mixture Model as the classification algorithm. Using all 44 acoustic feature dimensions, successful identification rates are achieved.
ER -