- Perceptual attack time
Perceptual Attack Time (often abbreviated "PAT") is a subjective measure of the time that a musical sound's
rhythm ic emphasis is heard. It is analogous to theperceptual centre (aka "p-centre") in speech.It is different from both the physical onset (i.e., the time at which the sound's acoustic energy first begins) and the perceptual onset (i.e., the subjective time at which a listener first notices that the sound has begun). For a very percussive sound such as a note played on a closed
hi hat cymbal the perceptual attack time may be just a fewmillisecond s, while for a note bowed slowly on a violin the perceptual attack time may be as much as 50-100 milliseconds.Applications
Understanding the perceptual attack time of recorded sounds is important when scheduling those sounds to be played by a computer. For example, suppose you wantto play a melody on a series of notes from different instruments. If the notes' physical onsets are equally spaced, the result will probably sound a little bit unsteady or out of rhythm; to get a rhythmically correct result it's necessary to account for each sound's perceptual attack time, i.e., to schedule the notes so that their perceptual attack times, not their onsets, are spaced according to the rhythm of the melody.
References
* Collins, N. (2006). [http://www.cus.cam.ac.uk/~nc272/papers/pdfs/pat.pdf "Investigating computational models of perceptual attack time"] , Proceedings of the 9th International Conference on Music Perception & Cognition (ICMPC9).
* Gordon, J. W. (1987). The perceptual attack time of musical tones. Journal of the Acoustic Society of America, 82(1), 88–105.
* Vos, J., & Rasch, R. (1981). The perceptual onset of musical tones. Perception and Psychophysics, 29(4),323–35.
* Wright, M. (2008) [http://ccrma.stanford.edu/~matt/diss/Matthew-Wright-Dissertation.pdf "The Shape of an Instant: Measuring and Modeling Perceptual Attack Time with Probability Density Functions (If a Tree Falls in the Forest, When Did 57 People Hear it Make a Sound?)"] Ph.D. Dissertation, Stanford University.
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