An algorithm for extracting fundamental frequencies from duet sounds is proposed. The algorithm is based on an acoustical feature that the temporal fluctuation patterns in frequency an power are similar for harmonic components composing a sound for a single musical note played on a single instrument with a single active vibrating source. The algorithm is applied to the sounds of 153 combinations of pair-notes played by a flute duet and a violin duet. Experimental results show that the zone-wize correct identification rate by pitch name are 98% for the flute duet and 95% for the violin duet in the best cases.
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Tamotsu SHIRADO, Masuzo YANAGIDA, "Extraction of Fundamental Frequencies from Duet Sounds" in IEICE TRANSACTIONS on Fundamentals,
vol. E80-A, no. 5, pp. 912-915, May 1997, doi: .
Abstract: An algorithm for extracting fundamental frequencies from duet sounds is proposed. The algorithm is based on an acoustical feature that the temporal fluctuation patterns in frequency an power are similar for harmonic components composing a sound for a single musical note played on a single instrument with a single active vibrating source. The algorithm is applied to the sounds of 153 combinations of pair-notes played by a flute duet and a violin duet. Experimental results show that the zone-wize correct identification rate by pitch name are 98% for the flute duet and 95% for the violin duet in the best cases.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e80-a_5_912/_p
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@ARTICLE{e80-a_5_912,
author={Tamotsu SHIRADO, Masuzo YANAGIDA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Extraction of Fundamental Frequencies from Duet Sounds},
year={1997},
volume={E80-A},
number={5},
pages={912-915},
abstract={An algorithm for extracting fundamental frequencies from duet sounds is proposed. The algorithm is based on an acoustical feature that the temporal fluctuation patterns in frequency an power are similar for harmonic components composing a sound for a single musical note played on a single instrument with a single active vibrating source. The algorithm is applied to the sounds of 153 combinations of pair-notes played by a flute duet and a violin duet. Experimental results show that the zone-wize correct identification rate by pitch name are 98% for the flute duet and 95% for the violin duet in the best cases.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - Extraction of Fundamental Frequencies from Duet Sounds
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 912
EP - 915
AU - Tamotsu SHIRADO
AU - Masuzo YANAGIDA
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E80-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 1997
AB - An algorithm for extracting fundamental frequencies from duet sounds is proposed. The algorithm is based on an acoustical feature that the temporal fluctuation patterns in frequency an power are similar for harmonic components composing a sound for a single musical note played on a single instrument with a single active vibrating source. The algorithm is applied to the sounds of 153 combinations of pair-notes played by a flute duet and a violin duet. Experimental results show that the zone-wize correct identification rate by pitch name are 98% for the flute duet and 95% for the violin duet in the best cases.
ER -