By David M. Burton
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Rescuing La Scala’s Audio Archives. IEEE Computer, Vol. 31(3), IEEE CS Press, Washington (1998) 88-89 11. : Coding Music Information within a Multimedia Database by an Inte-grated Description Environment. Atti del XII Colloquio di Informatica Musicale, AIMI/Universit` a di Udine, Gorizia (1998) 12. , Longari, M: Towards a Symbolic/Time-Based Music language based on XML. IEEE Proc. of MAX2002, Milan (2002) 13. , Pelegrin, M. : Music Processing Technologies for rescuing Music Archives at Teatro alla Scala and Bolshoi Theatre.
3. Musical Data Management module. The second step in this pre-processing phase is the extraction of source patterns. This activity is done by the Score Segmenter and Music Index Generator (SS-MIG) Module, shown in Figure 3a, software developed at LIM, capable of extracting source module patterns from XML ﬁles. Such patterns are extracted using a score segmentation algorithm . In addition, it is possible to manually reﬁne the output of the SS-MIG by adding, removing or modifying some of the patterns found by the SS-MIG.
The songs are started by a soloist, male or female, followed The Study of Musical Scales in Central Africa 37 Fig. 3. Example of Bedzan’ song (extract = one cycle) by the four constituent voices of the chorus entering by superposition or juxtaposition (all voices together or soloist/chorus alternation), the latter technique apparently linked to more recent songs. In most cases, only the solo part which begins the song has words. The rest of the song is composed of vowels which allow the singers to freely perform different variations.
An introduction to abstract mathematical systems by David M. Burton