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| Author(s): |
Ivan Eiji Yamauchi Simurra
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | Campinas, SP. |
| Institution: | Universidade Estadual de Campinas (UNICAMP). Instituto de Artes |
| Defense date: | 2016-02-29 |
| Examining board members: |
Jônatas Manzolli;
Silvio Ferraz de Mello Filho;
Adolfo Maia Junior;
Alexandre Roberto Lunsqui;
James Correa Soares
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| Advisor: | Jônatas Manzolli; Stéphan Olivier Schaub |
| Abstract | |
This Thesis describes an investigation into the instrumental combination process using a computing environment designed with audio descriptors, which we refer to as Sound Shizuku Composition or SSC. To this end, we implemented the SSC in PureData programming language (PD) using the library of functions "PDescriptors" to analyze the sound characteristics of a sound database with a myriad of musical instruments and extended techniques. The research relies mainly on three fundamental aspects: a) the study of audio descriptors such as sound analysis tool for computer-assisted musical orchestration; b) the analysis of works by composers and procedures developed to serve as a reference for the development of compositional models; c) the creation of compositional studies, in which the orchestrations will be tested. From the study on the audio descriptors as an analytical tool, item "a" focused on the generation of a universe of instrumental combinations described from their sonic characteristics. This procedure helps the decision making related to the orchestration and extended techniques. Regarding to item "b", we use the audio descriptors to analyze the sound characteristics of the following works: the First Movement of "Quattro Pezzi per Orchestra" by Giacinto Scelsi; the three solo pieces "Guero", "Pression" and "Dal Niente - Interieur III" by Helmut Lachenmann and "Reflexões" by Jônatas Manzolli. As refers to the item "c", we present a portfolio of original musical works, whose orchestral planning was based on the dialogue between the results obtained from studies of audio descriptors with the analysis of the works of reference composers. It is expected that the whole process of research reported here will increase the field of computer-assisted musical orchestration research area, establishing a more refined blend of sound diversity as a method of combination of musical instruments and extended techniques (AU) | |
| FAPESP's process: | 11/23972-2 - Audio Descriptors-Aided Music Composition via Timbra Re-Creation |
| Grantee: | Ivan Eiji Yamauchi Simurra |
| Support Opportunities: | Scholarships in Brazil - Doctorate |