Análise quantitativa da expressividade musical com base em medidas acústicas e do gesto físico

• Ano de defesa: 2010
• Autor(a) principal: Euler da Cunha Francisco Teixeira
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; UFMG
• Palavras-chave em Português: Engenharia Elétrica; Engenharia elétrica
• Link de acesso: http://hdl.handle.net/1843/BUOS-8D4EJ8

Musical expressiveness is a concept of dicult quantication in terms of objective parameters, and it's still usually analyzed subjectively by musicians or musically experienced researchers. Today there is a growing interest in concrete methods and cues used to extract, quantify, analyze and synthesize these expressive intentions. This have been done mainly trough audio analysis of music performances, trying to establish relations between the musician's expressive intentions and the acoustical and structural characteristics of the musical piece.The goal of this study is to complement this acoustical analysis method, by incorporating visual information about the performances in the investigation of the musician's expressive intentions, developing a methodology and a computational tool to analyze his physical gestures.The strategy used consists of tracking points of interest in the body movements of clarinetists, while performing classical pieces by Mozart, aiming to define coherent and recurrent physical gestures based on a segmentation of this movements, and to establish a comparison for these data between a freely expressive performance and a controlled performance of the same musical piece and also between characteristically diferent parts of each piece, based on statistical, geometrical, temporal and musical aspects. The information obtained from this movement analysis can then be used altogetherwith the acoustical parameters, in order to achieve an integrated methodology to quantify the musician's expressive intentions, that could be incorporated to musical synthesis, recognition, teaching and analysis systems, and also used in the development of theories related to musicology and human cognition and physiology.