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Global Musical Tempo Transformations using Case Based ... - OFAI

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from the performance IOI’s. The first alternative shows mainly small time<br />

scale timing deviations, and obscures trends, or larger time scale changes in<br />

timing (such as rubato). The second alternative shows such global trends<br />

more clearly. The second definition, ‘expression as deviation from the score’,<br />

is realized as the deviations of IOI’s from the mean note or beat duration.<br />

The results are equivalent to those of the first definition. Measurement of expressiveness<br />

according to the third definition, ‘expression as deviation within<br />

a performance’, is performed by relating the performed note IOI’s to the performed<br />

bar IOI’s. This approach can clarify timing regularities that relate<br />

to meter and rhythmical patterns.<br />

2.1.2 Representation of Timing and <strong>Tempo</strong><br />

Related to the issue of interpreting different aspects of expressivity is the<br />

argument for differentiation of tempo changes and timing [62, 13]. Although<br />

both tempo changes and timing become manifest through temporal displacement<br />

of musical events, they refer to different musical phenomena. <strong>Tempo</strong><br />

changes refer to the effect of speeding up or slowing down the performance<br />

of the melody in a continuous manner, whereas timing refers to local displacements<br />

of notes, chords or other musical events, with respect to the<br />

tempo (in a manner of speaking, timing is on top of tempo changes). Honing<br />

[62] notes that representations commonly used for describing musical performances<br />

(like tempo-curves that map score times to instantaneous tempo,<br />

or time-shift functions that map score times to deviations with respect to the<br />

score) fail to capture both aspects separately. As a result, they cannot well<br />

be used in systems for performance generation, since applying such functions<br />

in composition (that is, apply one function on the result of another function)<br />

yields undesired results. This is caused by the fact that the input of the<br />

second function is not score-time but performance time. Time maps (TM’s)<br />

are a better solution for such applications. A TM maps performance time<br />

before transformation (pre-perturbed time) to performance time after transformation<br />

(perturbed time), which allows for composition. Another practical<br />

advantage of TM’s over tempo-curves or time-shift functions is that the former<br />

provides performance time directly as output, whereas the latter two<br />

require extra calculation to obtain performance time. However, TM’s also<br />

have some limitations:<br />

• Score times are lost in composition<br />

• Support for concatenation is limited<br />

• Access to score and performance durations in composition<br />

19

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