Título:
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Sound object classification for symbolic audio mosaicing: a proof-of-concept
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Autor/a:
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Janer Mestres, Jordi; Haro Berois, Martín; Roma Trepat, Gerard; Fujishima, Takuya; Kojima, Naoaki
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Abstract:
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Comunicació presentada a la 6th Sound and Music Computing Conference, celebrada els dies 23 a 25 de juliol de 2009 a Porto, Portugal. |
Abstract:
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Sample-based music composition often involves the task
of manually searching appropriate samples from existing
audio. Audio mosaicing can be regarded as a way to automatize
this process by specifying the desired audio attributes,
so that sound snippets that match these attributes are concatenated
in a synthesis engine. These attributes are typically
derived from a target audio sequence, which might
limit the musical control of the user.
In our approach, we replace the target audio sequence by
a symbolic sequence constructed with pre-defined sound object
categories. These sound objects are extracted by means
of automatic classification techniques. Three steps are involved
in the sound object extraction process: supervised
training, automatic classification and user-assisted selection.
Two sound object categories are considered: percussive and
noisy. We present an analysis/synthesis framework, where
the user explores first a song collection using symbolic concepts
to create a set of sound objects. Then, the selected
sound objects are used in a performance environment based
on a loop-sequencer paradigm. |
Abstract:
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This work is partially funded by Yamaha Corp., Japan and the EU IST project Salero FP6-027122. |
Materia(s):
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-So -- Informàtica |
Derechos:
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© Sound and Music Computing. Creative Commons Attribution 4.0
http://creativecommons.org/licenses/by/4.0/ |
Tipo de documento:
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Objeto de conferencia Artículo - Versión publicada |
Editor:
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[Sound and Music Computing]
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