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Bertso transformation with pattern-based sampling

Dokumentua: Ingelesa. Online
Egilea(k)
Goienetxea, Izaro
Izenburua
Bertso transformation with pattern-based sampling / Izaro Goienetxea, Darrell Conklin
Argitalpena
Donostia: Universidad del País Vasco = Euskal Herriko Unibertsitatea, 2015-07
Gaiak
Bertsolaritza
Edukia
Testu osoa
Beste egileak
Conklin, Darrell ; Euskal Herriko Unibertsitatea (EHU)
Deskribapen fisikoa
8 or. : ir., mus.
Informazio formatua
Dokumentua
Oharrak
Azalean: University of Basque Country, Department of Computer Science and Artificial Intelligence
Erreferentzi bibliografikoak: 8 or.
Jabetza eskubideak: Open Access

This paper presents a method to generate new melodies, based on conserving the semiotic structure of a template piece. A pattern discovery algorithm is applied to a template piece to extract significant segments: those that are repeated and those that are transposed in the piece. Two strategies are combined to describe the semiotic coherence structure of the template piece: inter-segment coherence and intra-segment coherence. Once the structure is described it is used as a template for new musical content that is generated using a statistical model created from a corpus of bertso melodies and iteratively improved using a stochastic optimization method. Results show that the method presented here effectively describes a coherence structure of a piece by discovering repetition and transposition relations between segments, and also by representing the relations among notes within the segments. For bertso generation the method correctly conserves all intra and inter-segment coherence of the template, and the optimization method produces coherent generated melodies

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