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| Author(s): |
Gabriel Dias Cantareira
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) |
| Defense date: | 2014-12-17 |
| Examining board members: |
Fernando Vieira Paulovich;
Fred Siqueira Cavalcante;
Luis Gustavo Nonato
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| Advisor: | Fernando Vieira Paulovich |
| Abstract | |
Information visualization is an expanding research field due to its offering of novel approaches to analyze data of great size or complexity, referring to many techniques and tools in order to offer ways to interact and explore data sets to find important or useful information. Music is a domain of high complexity and hard to study and analyze by computer due to its sometimes subjective features, dependant of human interpretation. Although many research initiatives have been published regarding this subject recently, most of the music-related information visualization applications tend to analyze datasets composed by many different musical pieces, aiming to classify or group the data according to certain criteria. Thus, visualization of the information contained in a single musical piece is an area that still could be better explored, especially regarding to the comprehension of the musical information involved information extracted by a musician by reading musical scores. This document reports the development of a novel approach to musical data visualization based on electric guitar melodies, capable of showing elements such as harmony, melody and timing variations, aiming to aid a musician in the task of understanding such data. (AU) | |
| FAPESP's process: | 13/02455-5 - Multilevel Musical Composition Visualization with Support to Musical Theory Element Discrimination |
| Grantee: | Gabriel Dias Cantareira |
| Support Opportunities: | Scholarships in Brazil - Master |