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esult. I dealt with this empirically, creating large tables of results and judging the subjective musicality of the outcome by listening. 1.2.2 Splice the
‘Splice’ application finds moments of maximum spectral similarity to create the most seamless possible splice(s) between different sound files. It scans through all the files and creates lists of splice points, ranked by degree of similarity; it then recursively seeks an optimal path through them to create the The
audio file. Normally, it takes several input parameters: a list of sound files to resulting
a minimum and maximum allowed duration for each slice of sound between splices, an optional ‘self-avoidance’ duration (used to avoid cyclical paths), the number of splices that the resulting audio file should contain, and, most importantly, a volume threshold level for splice points. analyze,
volume threshold parameter specifies that a splice may only happen at or above a minimum volume level; this is crucial because (given my comparison rubric) quieter moments are more spectrally similar to each other than louder moments. Without this parameter (i.e. if the threshold were set to This
the ‘best’ splice points would always be found at moments of silence. The setting of this parameter depends on the intended effect of the splice. When set zero),
a low value, the splice points are found ‘between the notes’; when set at a higher value, only splices at loud moments (i.e. ‘within the note’) are allowed (yielding a much more drastic and noticeable effect). The comparison rubric used to judge the relative similarity between two
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