D. Gunawan and D. Sen, “Identification of Partials in Polyphonic Mixtures Based on Temporal Envelope Similarity,” in Proc. AES Convention 123, Oct. 2007, Paper 7248. [Online]. Available: https://aes.org/publications/elibrary-page/?id=14306
Gunawan D, Sen D. Identification of Partials in Polyphonic Mixtures Based on Temporal Envelope Similarity. In: AES Convention 123. Audio Engineering Society; 2007. Paper 7248. Available from: https://aes.org/publications/elibrary-page/?id=14306
@inproceedings{Gunawan2007_14306,
author = {Gunawan, David and Sen, D.},
title = {{Identification of Partials in Polyphonic Mixtures Based on Temporal Envelope Similarity}},
booktitle = {AES Convention 123},
note = {Paper 7248},
year = {2007},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=14306}
}
TY - CPAPER
TI - Identification of Partials in Polyphonic Mixtures Based on Temporal Envelope Similarity
AU - Gunawan, David
AU - Sen, D.
T2 - AES Convention 123
M1 - Paper 7248
PY - 2007
DA - 2007/10/06
UR - https://aes.org/publications/elibrary-page/?id=14306
PB - Audio Engineering Society
LA - en
AB - In musical instrument sound source separation, the temporal envelopes of the partials are correlated due to the physical constraints of the instruments. With this assumption, separation algorithms then exploit the similarities between the partial envelopes in order to group partials into sources. In this paper, we quantitatively investigate the partial temporal envelope similarities of a large database of instrument samples and develop weighting functions in order to model the similarities. These model partials then provide a reference to identify similar partials of the same source. The partial identification algorithm is evaluated in the separation of polyphonic mixtures and is shown to successfully discriminate between partials from different sources.
ER -