Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/41160

Título:

Pitch content visualization tools for music performance analysis

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Autor:

Jure, Luis
López, Ernesto
Rocamora, Martín
Cancela, Pablo
Spontón, Haldo
Irigaray, Ignacio

Tutor:

Tipo de documento:

Ponencia

Editor:

Palabras clave:

Descriptores:

Procesamiento de Señales

Año de publicación:

2012

Contenido:

Resumen:

This work deals with pitch content visualization tools for the analysis of music performance from audio recordings. An existing computational method for the representation of pitch contours is briefly reviewed. Its application to music analysis is exemplified with two pieces of non-notated music: a field recording of a folkloric form of polyphonic singing and a commercial recording by a noted blues musician. Both examples have vocal parts exhibiting complex pitch evolution, difficult to analyze and notate with precision using Western common music notation. By using novel time-frequency analysis techniques that improve the location of the components of a harmonic sound, the melodic content representation implemented here allows a detailed study of aspects related to pitch intonation and tuning. This in turn permits an objective measurement of essential musical characteristics that are difficult or impossible to properly evaluate by subjective perception alone, and which are often not accounted for in traditional musicological analysis. Two software tools are released that allow the practical use of the described methods.

Descripción:

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Editorial:

ISMIR

EN:

13 th International Society for Music Information Retrieval. Porto, Portugal, 8-12 oct. 2012

Financiadores:

Citación:

Jure, L, López, E, Rocamora, M, Cancela, P, Sponton, H, Irigaray, I. "Pitch content visualization tools for music performance analysis" Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR, Porto, Portugal, pp. 493-498 (978-972-752-144-9).

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ISBN:

978-972-752-144-9

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Departamento académico:

Procesamiento de Señales

Grupo de investigación:

Procesamiento de Audio

Licencia:

Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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