Title:
|
Corpora for music information research in Indian art music
|
Author:
|
Srinivasamurthy, Ajay; Koduri, Gopala Krishna; Gulati, Sankalp; Ishwar, Vignesh; Serra, Xavier
|
Abstract:
|
Comunicació presentada a la International Computer Music Conference, ICMC/SMC, celebrada a Atenes (Grècia) del 14 al 20 de setembre de 2014. |
Abstract:
|
Research corpora are representative collections of data and
are essential to develop data-driven approaches in Music
Information Research (MIR). We address the problem of
building research corpora for MIR in Indian art music traditions
of Hindustani and Carnatic music, considering several
relevant criteria for building such corpora. We also
discuss a methodology to assess the corpora based on these
criteria and present an evaluation of the corpora in their
coverage and completeness. In addition to the corpora, we
briefly describe the test datasets that we have built for use
in many research tasks. In specific, we describe the tonic
dataset, the Carnatic rhythm dataset, the Carnatic varṇaṁ
dataset, and the Mridangam stroke dataset. The criteria and
the evaluation methodology discussed in this article can be
used to systematically build a representative and comprehensive
research corpus. The corpora and the datasets are
accessible to the research community from a central online
repository. |
Abstract:
|
The compilation of the corpora and the datasets presented
in this paper has been a collective effort of the members of
the CompMusic project and a number of collaborators. The
CompMusic project is funded by the European Research
Council under the European Union’s Seventh Framework
Program (ERC grant agreement 267583). |
Rights:
|
© 2014 Ajay Srinivasamurthy 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.
https://creativecommons.org/licenses/by/3.0/
|
Document type:
|
Conference Object Article - Published version |
Published by:
|
Michigan Publishing
|
Share:
|
|