dc.contributor.author |
Gong, Rong |
dc.contributor.author |
Serra, Xavier |
dc.date |
2017 |
dc.identifier.citation |
Gong R, Serra X. Identification of potential Music Information Retrieval technologies for computer-aided jingju singing training. Paper presented at: 5th China Conference on Sound and Music Technology, Chinese Traditional Music Technology Session; 2017 Nov 21; Suzhou, China. |
dc.identifier.uri |
http://hdl.handle.net/10230/42238 |
dc.format |
application/pdf |
dc.language.iso |
eng |
dc.relation |
info:eu-repo/grantAgreement/EC/FP7/267583 |
dc.rights |
This document is distributed under the terms of the Creative Commons Attribution License - Attribution-NonCommercial 3.0 Spain (CC BY-NC 3.0 ES) |
dc.rights |
https://creativecommons.org/licenses/by-nc/3.0/es/ |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.subject |
Jingju |
dc.subject |
Computer-aided singing training |
dc.subject |
Music information retrieval |
dc.title |
Identification of potential Music Information Retrieval technologies for computer-aided jingju singing training |
dc.type |
info:eu-repo/semantics/conferenceObject |
dc.type |
info:eu-repo/semantics/acceptedVersion |
dc.description.abstract |
Comunicació presentada a: 5th China Conference on Sound and Music Technology - Chinese Traditional Music Technology Session celebrada el 21 de novembre de 2017 a Suzhou, Xina. |
dc.description.abstract |
Music Information Retrieval (MIR) technologies have been proven useful in assisting western
classical singing training. Jingju (also known as Beijing or Peking opera) singing is different
from western singing in terms of most of the perceptual dimensions, and the trainees are
taught by using mouth/heart method. In this paper, we first present the training method used
in the professional jingju training classroom scenario and show the potential benefits of
introducing the MIR technologies into the training process. The main part of this paper
dedicates to identify the potential MIR technologies for jingju singing training. To this intent,
we answer the question: how the jingju singing tutors and trainees value the importance of
each jingju musical dimension—intonation, rhythm, loudness, tone quality and
pronunciation? This is done by (i) classifying the classroom singing practices, tutor's verbal
feedbacks into these 5 dimensions, (ii) surveying the trainees. Then, with the help of the
music signal analysis, a finer inspection on the classroom practice recording examples
reveals the detailed elements in the training process. Finally, based on the above analysis,
several potential MIR technologies are identified and would be useful for the jingju singing
training. |
dc.description.abstract |
This by the European Research Council under the European Union’s Seventh Framework
Program, as part of the CompMusic project (ERC grant agreement 267583). |