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Bertso transformation with pattern-based sampling
			Document:
										Anglais.
															Online
					                    
				- Auteur(s)
 - Goienetxea, Izaro
 - Titre
 - 
														Bertso transformation with pattern-based sampling																		/ Izaro Goienetxea, Darrell Conklin
 - Publication
 - Donostia: Universidad del País Vasco = Euskal Herriko Unibertsitatea, 2015-07
 - Thèmes
 - Bertsolaritza
 - Content
 - 
																	Testu osoa
 
- Autres auteurs
 - Conklin, Darrell ; Euskal Herriko Unibertsitatea (EHU)
 - Description physique
 - 8 or. : ir., mus.
 - Typologie
 - Document
 - Eduki mota
 - Recherche
 - Notes
 - 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
																  
						