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Título: | A Case-Based Approach to Expressivity-aware Tempo Transformation |
Autor: | Grachten, Maarten; Arcos Rosell, Josep Lluís CSIC ORCID ; López de Mántaras, Ramón CSIC ORCID | Palabras clave: | Artificial intelligence Case-based reasoning Music |
Fecha de publicación: | dic-2006 | Editor: | Springer Nature | Citación: | Machine Learning Journal, 65(2/3): 411-437 | Resumen: | The research presented in this paper is focused on global tempo transformations of music performances. We are investigating the problem of how a performance played at a particular tempo can be rendered automatically at another tempo, while preserving naturally sounding expressivity. Or, differently stated, how does expressiveness change with global tempo. Changing the tempo of a given melody is a problem that cannot be reduced to just applying a uniform transformation to all the notes of a musical piece. The expressive resources for emphasizing the musical structure of the melody and the affective content differ depending on the performance tempo. We present a case-based reasoning system called TempoExpress and will describe the experimental results obtained with our approach. | URI: | http://hdl.handle.net/10261/2949 | ISSN: | 0885-6125 |
Aparece en las colecciones: | (IIIA) Artículos |
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CBTempo.pdf | 179,43 kB | Adobe PDF | Visualizar/Abrir |
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