New Developments in Data-Driven Concatenative Sound Synthesis

نویسنده

  • Diemo Schwarz
چکیده

Concatenative data-driven synthesis methods based on a large database of sounds and a unit selection algorithm are gaining more interest in the computer music world. We briefly describe recent related work and then focus on new developments in our CATERPILLAR synthesis system: the advantages of the addition of a relational SQL database, work on segmentation by alignment, the reformulation and extension of the unit selection algorithm using a constraint satisfaction approach, and new applications for musical and speech synthesis.

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تاریخ انتشار 2003