Título:
|
Pitch contour segmentation for computer-aided jinju singing training
|
Autor/a:
|
Gong, Rong; Yang, Yile; Serra, Xavier
|
Abstract:
|
Comunicació presentada a: 13th Sound and Music Computing Conference (SMC 2016), celebrat a Hamburg (Alemanya), del 31 d'agost a 3 de setembre de 2016. |
Abstract:
|
Imitation is the main approach of jingju (also known as
Beijing opera) singing training through its inheritance of
nearly 200 years. Students learn singing by receiving auditory
and gestural feedback cues. The aim of computeraided
training is to visually reveal the student’s intonation
problem by representing the pitch contour on segmentlevel.
In this paper, we propose a technique for this purpose.
Pitch contour of each musical note is segmented automatically
by a melodic transcription algorithm incorporated
with a genre-specific musicological model of jingju
singing: bigram note transition probabilities defining the
probabilities of a transition from one note to another. A
finer segmentation which takes into account the high variability
of steady segments in jingju context enables us to
analyze the subtle details of the intonation by subdividing
the note’s pitch contour into a chain of three basic vocal
expression segments: steady, transitory and vibrato.
The evaluation suggests that this technique outperforms
the state of the art methods for jingju singing. The web prototype
implementation of these techniques offers a great
potential for both in-class learning and self-learning. |
Materia(s):
|
-Beijing opera -Jingju -Pitch contour -Segmentation -Singing training |
Derechos:
|
© 2016 Rong Gong, Yile Yang, Xavier Serra et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
http://creativecommons.org/licenses/by/3.0/ |
Tipo de documento:
|
Objeto de conferencia Artículo - Versión publicada |
Editor:
|
Zentrum für Mikrotonale Musik und Multimediale Komposition (ZM4) Hochschule für Musik und Theate
|
Compartir:
|
|