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Title:
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Mining melodic patterns in large audio collections of Indian art music
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Author:
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Gulati, Sankalp; Serrà Julià, Joan; Ishwar, Vignesh; Serra, Xavier
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Abstract:
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Comunicació presentada a la 10th International Conference on Signal Image Technology and Internet Based Systems celebrada del 23 al 27 de novembre de 2014 a Marràqueix (Marroc). |
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Abstract:
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Discovery of repeating structures in music is
fundamental to its analysis, understanding and interpretation.
We present a data-driven approach for the discovery of shorttime
melodic patterns in large collections of Indian art music.
The approach first discovers melodic patterns within an audio
recording and subsequently searches for their repetitions in the
entire music collection. We compute similarity between melodic
patterns using dynamic time warping (DTW). Furthermore, we
investigate four different variants of the DTW cost function
for rank refinement of the obtained results. The music collection
used in this study comprises 1,764 audio recordings
with a total duration of 365 hours. Over 13 trillion DTW
distance computations are done for the entire dataset. Due
to the computational complexity of the task, different lower
bounding and early abandoning techniques are applied during
DTW distance computation. An evaluation based on expert
feedback on a subset of the dataset shows that the discovered
melodic patterns are musically relevant. Several musically
interesting relationships are discovered, yielding further scope
for establishing novel similarity measures based on melodic
patterns. The discovered melodic patterns can further be used
in challenging computational tasks such as automatic r¯aga
recognition, composition identification and music recommendation. |
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Abstract:
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This work is partly supported by the European Research
Council under the European Union’s Seventh Framework
Program, as part of the CompMusic project (ERC
grant agreement 267583). J.S. acknowledges 2009-SGR-
1434 from Generalitat de Catalunya, ICT-2011-8-318770
from the European Commission, JAEDOC069/2010 from
CSIC, and European Social Funds. |
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Subject(s):
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-Motifs
-Pattern discovery
-Time series
-Melodic analysis
-Indian art music |
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Rights:
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© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The final published article can be found at https://ieeexplore.ieee.org/document/7081557
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Document type:
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Conference Object
Article - Accepted version |
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Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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