English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/3250
Compartir / Impacto:
Estadísticas
Add this article to your Mendeley library MendeleyBASE
Ver citas en Google académico
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar otros formatos: Exportar EndNote (RIS)Exportar EndNote (RIS)Exportar EndNote (RIS)
Título : TempoExpress: An Expressivity-Preserving Musical Tempo Transformation
Autor : Grachten, Maarten; Arcos, Josep Ll.; Lopez de Mantaras, Ramon
Palabras clave : Artificial Intelligence
Case-Based Reasoning
CBR
Computational Models of Music
Fecha de publicación : 2006
Citación : Proceedings of the Twenty-First National Conference on Artificial Intelligence, AAAI-06: July 16–20, 2006, Boston, Massachusetts. AAAI Press, Vol. 2, p.p.: 1609-1612.
Resumen: The research described in this paper focuses on global tempo transformations of monophonic audio recordings of saxophone jazz performances. More concretely, we have investigated the problem of how a performance played at a particular tempo can be automatically rendered at another tempo while preserving its expressivity. To do so we have developed a case-based reasoning system called TempoExpress. The results we have obtained have been extensively compared against a standard technique called uniform time stretching (UTS), and show that our approach is superior to UTS.
Descripción : The original publication is available at www.aaai.org
URI : http://hdl.handle.net/10261/3250
ISBN : 978-1-57735-281-5
Aparece en las colecciones: (IIIA) Comunicaciones congresos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
AAAI_2006.pdf256,51 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.