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7 Philippe Manoury's Jupiter1

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152 • Andrew May<br />

When the fl utist plays a note, the pitch-tracking algorithm determines its<br />

pitch as quickly as possible. Th e score-following algorithm then correlates<br />

this pitch number with the pitch list in the follow score. Some pitch events<br />

will trigger cues, while others will simply be counted and registered by the<br />

score follower. If a new cue has been reached, the score follower sends out<br />

the messages in the qlist score corresponding to that cue. 2 Since cues can<br />

be fl exibly assigned to notes, the computer’s accompaniment can be more<br />

or less detailed and more or less correlated with the fl ute part, according to<br />

the needs of the music.<br />

Th e pitch datum generated at the beginning of a note (henceforth the<br />

“note-incipit”) is the computer’s only connection to the fl utist’s behavior. All<br />

other data that could be used to control the computer such as amplitudes,<br />

durations, and rests, are ignored. Furthermore, within the linear progression<br />

of the computer’s follow and qlist scores, backtracking in time is impossible.<br />

Th ere is no provision for random access, or “skipping” to another cue in the<br />

score. Th e computer is only cognizant of note-incipits, and its sounds are<br />

frequently triggered in reaction to them. Cort Lippe has commented on the<br />

pitfalls of this model: “A common observation . . . is that real-time computer<br />

music has a static performer/machine relationship, one in which the computer<br />

always reacts to or transforms materials generated by a performer . . . a kind<br />

of ‘call and response’ relationship” (1996 116).<br />

In Jupiter, several strategies are used to avoid a static relationship between<br />

fl ute and computer. Th e strategy of pitch-based score-following triggers systems<br />

that create varying degrees of temporal independence in the computer’s<br />

behaviors, yielding a much more dynamic performative relationship than the<br />

note-incipit model of the fl ute’s actions would suggest. Th e varying tactics of<br />

the computer’s relationship to the fl ute are carried out within the qlist itself<br />

as well as within a host of specialized modules in the patch.<br />

Each of the computer’s instruments has not only a characteristic timbre,<br />

but also a characteristic relationship to the fl ute line. Th e fundamental tactics<br />

of relation may be divided into four basic categories: temporal extension (TX),<br />

rhythmic activation (RA), sonic extension (SX), and harmonic extension<br />

(HX), each defi ned below. All four are used in various ways from the start of<br />

the work to the end. Th ree further tactics of relation, introduced in particular<br />

sections of the work, will be discussed later; these are motoric coordination<br />

(MC), independent behaviors (IB), and spectral dynamics (SD).<br />

Temporal Extension (TX): Notes growing out of the fl ute line are extended<br />

in time, generating a separate and slower rhythmic layer. Th is is oft en accomplished<br />

by the injection of fl ute sound into the infi nite reverberator,<br />

which prolongs them until some later point in time (usually another cue<br />

from the fl ute).<br />

Simoni_RT76294_C007.indd 152 9/22/2005 11:19:18 AM

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