• Corpus ID: 31216625

Creating Research Corpora for the Computational Study of Music: the case of the CompMusic Project

@inproceedings{Serra2014CreatingRC,
  title={Creating Research Corpora for the Computational Study of Music: the case of the CompMusic Project},
  author={Xavier Serra},
  booktitle={Semantic Audio},
  year={2014}
}
  • X. Serra
  • Published in Semantic Audio 27 January 2014
  • Art
Comunicacio presentada a la 53rd International Conference: Semantic audio, celebrada els dies 27 a 29 de gener de 2014 a Londres, Regne Unit. 

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References

SHOWING 1-10 OF 33 REFERENCES
Dunya: a system for browsing audio music collections exploiting cultural context
Comunicacio presentada a la 14th International Society for Music Information Retrieval Conference, celebrada a Curitiba (Brasil) els dies 4 a 8 de novembre de 2013.
A Turkish Makam Music Symbolic Database for Music Information Retrieval: SymbTr
This research was partly funded by the European Research/nCouncil under the European Union's Seventh/nFramework Program, as part of the CompMusic project/n(ERC grant agreement 267583).
Carnatic music: Svara, Gamaka, Motif and Raga identity
Comunicacio presentada al 2nd CompMusic Workshop, celebrat els dies 12 i 13 de juliol de 2012 a Istanbul (Turquia), organitzat per CompMusic.
Computational Analysis of Turkish Makam Music: Review of State-of-the-Art and Challenges
TLDR
A review of the computational analysis literature for Turkish makam music is targeted, discussing in detail the challenges involved and presenting a perspective for further studies.
An Overview of Hindustani Music in the Context of Computational Musicology
TLDR
The deliberation will mainly focus on the melodic aspect of music making and will attempt to provide a musicological base for the main features associated with the melody: intonation and improvisation; thus covering the soundscape on the micro as well as macro level.
Intonation Analysis of Rāgas in Carnatic Music
TLDR
This paper first assesses rga intonation qualitatively by analysing varṇaṁs, a particular form of Carnatic music compositions, and proposes two approaches based on the parametrization of pitch-value distributions: performance pitch histograms, and context-based svara distributions obtained by categorizing pitch contoursbased on the melodic context.
In Search of Automatic Rhythm Analysis Methods for Turkish and Indian Art Music
TLDR
This work defines and describes three relevant rhythm annotation tasks for these cultures—beat tracking, meter estimation, and downbeat detection, and evaluates several methodologies from the state of the art in Music Information Retrieval for these tasks, using manually annotated datasets of Turkish and Indian music.
Towards a (better) Definition of Annotated MIR Corpora
TLDR
A survey and consolidation report on the nature of the an- notated corpora used and shared in MIR, with proposals for the axis against which corpora can be described so to enable effective comparison and the inherent influence this has on tasks performed using them.
Linking Scores and Audio Recordings in Makam Music of Turkey
TLDR
This paper presents a method for linking musically relevant sections in a score of a piece from makam music of Turkey (MMT) to the corresponding time intervals of an audio recording of the same piece.
Classification of Melodic Motifs in Raga Music with Time-series Matching
TLDR
In this work, machine learning methods are used on labelled databases of Hindustani and Carnatic vocal audio concerts to obtain phrase classification on manually segmented audio using Dynamic time warping and HMM based classification on time series of detected pitch values used for the melodic representation of a phrase.
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