2007
DOI: 10.1121/1.2756172
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Analysis and modeling of piano sustain-pedal effects

Abstract: This paper describes the main features of the sustain-pedal effect in the piano through signal analysis and presents an algorithm for simulating the effect. The sustain pedal is found to increase the decay time of partials in the middle range of the keyboard, but this effect is not observed in the case of the bass and treble tones. The amplitude beating characteristics of piano tones are measured with and without the sustain pedal engaged, and amplitude envelopes of partial overtone decay are estimated and dis… Show more

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Cited by 15 publications
(9 citation statements)
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“…It can be noted, however, that even the large change in the number of sympathetic resonating strings which occurs when the sustain pedal is engaged has only little influence on the decay time of the note struck. 22 In the mid register the decay time was reported to increase but not in the bass and treble. The influence on piano timbre from the sustain pedal is, in contrast, pronounced.…”
Section: Discussionmentioning
confidence: 97%
“…It can be noted, however, that even the large change in the number of sympathetic resonating strings which occurs when the sustain pedal is engaged has only little influence on the decay time of the note struck. 22 In the mid register the decay time was reported to increase but not in the bass and treble. The influence on piano timbre from the sustain pedal is, in contrast, pronounced.…”
Section: Discussionmentioning
confidence: 97%
“…In the field of piano pedalling techniques, detection methods in the current literature are all based on isolated notes. The main features of the sustain-pedal effect outlined in [10] are the energy of residuals, decay time and amplitude beating. The values of these features are increased when the sustain pedal is fully engaged.…”
Section: Introductionmentioning
confidence: 99%
“…A discrimination factor of 100% represents perfect distinguishability for the recorded and synthetic tones, whereas 50% represents random guessing. In previous works, a threshold of 75% has been accepted as the borderline, under which the sound can be considered not distinguishable [56][57][58]; however, in this work, the 75% threshold will be called a likelihood threshold, under which the sound can be considered very close to the real one. Perfect indistinguishability coincides with random guessing.…”
Section: Model Validationmentioning
confidence: 99%