Melody Transformation with Semiotic Patterns

Goienetxea, Izaro; Conklin, Darrell

doi:10.1007/978-3-030-01692-0_32

Cited by 3 publications

(10 citation statements)

References 15 publications

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“…This work extends the automatic music generation paper by Goienetxea and Conklin [22], which presents a music generation method that generates new melodic information. It is based on the use of the semiotic structure extracted from a template piece and a statistical model created from a corpus, in order to obtain new coherent melodies in the style of the corpus.…”

Section: Discussionmentioning

confidence: 68%

“…The extension described in this paper presents several contributions to the melody generation method of [22]. A rhythmic generation process is added, which follows the idea of identifying the rhythmically related segments in the template piece and respecting these relations when generating new rhythmic content.…”

Section: Discussionmentioning

confidence: 99%

“…The method presented in this paper is an extension of the work presented in [22], which is able to generate new melodic information maintaining the rhythm of an existing piece. In this approach, in addition to the melodic information, the rhythmic part is also generated.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…That is the generation idea followed in [22], which uses a coherence structure that describes the melodic relations of a template piece to generate new pieces along with a statistical model created from a corpus of bertso melodies. Bertsos are Basque improvised songs, which must respect various melodic and rhyming patterns, and their rhythmic structure has to fit in one of the many accepted metrics.…”

Section: Introductionmentioning

confidence: 99%

“…In this work the music generation method presented in [22] is extended. In this extension in addition to the melodic content the rhythm of the new pieces is also sampled.…”

Section: Introductionmentioning

confidence: 99%

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Statistics-Based Music Generation Approach Considering Both Rhythm and Melody Coherence

et al. 2019

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This paper presents a music generation method which is an extension of a previously presented method that generates coherent melodies using a melodic coherence structure extracted from a template piece. This extension, which has been applied for generating bertso melodies, adds the generation of the rhythmic content of the melodies, for which a rhythmic coherence structure of the template piece is also created. To do so, a pattern discovery and ranking method is used to discover the rhythmically repeated segments that are interesting, and create a rhythmic coherence structure which can have several levels of nesting. Independent sampling processes have been developed for melodic and rhythmic content, using an adapted optimization method for sampling the rhythmic content of the new pieces. An evaluation process has been carried out to evaluate some of the generated pieces, considering on one hand how the listeners perceive them and on the other hand whether they share the features with bertso melodies. It has been concluded from this evaluation that the method is capable of generating good coherent bertso melodies.

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Section: Discussionmentioning

confidence: 68%

Section: Discussionmentioning

confidence: 99%

Section: Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…In this work the music generation method presented in [22] is extended. In this extension in addition to the melodic content the rhythm of the new pieces is also sampled.…”

Section: Introductionmentioning

confidence: 99%

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Statistics-Based Music Generation Approach Considering Both Rhythm and Melody Coherence

et al. 2019

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Folk the Algorithms: (Mis)Applying Artificial Intelligence to Folk Music

Sturm

Ben-Tal

2021

Handbook of Artificial Intelligence for Music

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This chapter motivates the application of artificial intelligence (AI) to modeling styles of folk music. In this context, we focus particularly on questions about the meaningful evaluation of such AI, and argue that music practitioners should be integral to the research pursuit. We ground our discussion in specific music AI that model symbolic transcriptions of traditional dance music of Ireland and Scandinavia. Finally, we discuss several ethical dimensions of such work. After reading this chapter, the student should have some grasp of approaches to modeling music data, evaluating those approaches, and critically considering wider aspects of their application.

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III. Ikergazte. Nazioarteko ikerketa euskaraz. Kongresuko artikulu bilduma. Ingeniaritza eta Arkitektura

2019

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Izaskun Elezgarai (UPV/EHU, UEU) Felix Elortza (Biogune, UEU) Karlos Ibarguren Olalde (Osakidetza) Xabier Isasi (UPV/EHU, UEU) Nerea Osinalde (UPV/EHU) Izortze Santin (UPV/EHU) Beste gainbegirale batzuk Bakarne Altonaga (UPV/EHU, UEU) Ander Altuna (UEU) Noelia Andollo (UPV/EHU) Aritz Bilbao (Deustuko Unibertsitatea) Unai del Burgo (UPV/EHU, UEU) Ibon Cancio (UPV/EHU, UEU) Idoia Fernandez (UPV/EHU, UEU) Vanessa García (UPV/EHU) Unai Lopez-Novoa (Cardiff University) Jose Martin (UPV/EHU, UEU) Iñigo Mendialdua (UPV/EHU) Bea Narbaiza (UPV/EHU) Jose Antonio Pascual (UPV/EHU) Igor Rodriguez (UPV/EHU) Josean Rodriguez (UPV/EHU) Ainara Sagarna (UPV/EHU) Itziar San Martin (UPV/EHU, UEU) Ander Soraluze (UPV/EHU, UEU) Joseba Zalakain (Siis, Dokumentazio eta Ikerketa Zentroa) Jon Zarate (UPV/EHU) Mario Zubiaga (UPV/EHU, UEU) Batzorde Dinamizatzailea Haizpea Abrisketa (CNRS-IKER Euskara eta euskal testuen ikerketa-zentroa) Begoña Altuna (UPV/EHU) Joseba Fernandez de Landa (UPV/EHU) Pauline Guelle (UPPA, IUV, UPV/EHU) Nagore Elu (UPV/EHU)

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Melody Transformation with Semiotic Patterns

Cited by 3 publications

References 15 publications

Statistics-Based Music Generation Approach Considering Both Rhythm and Melody Coherence

Statistics-Based Music Generation Approach Considering Both Rhythm and Melody Coherence

Folk the Algorithms: (Mis)Applying Artificial Intelligence to Folk Music

III. Ikergazte. Nazioarteko ikerketa euskaraz. Kongresuko artikulu bilduma. Ingeniaritza eta Arkitektura

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