Modeling and Analysis of Indian Carnatic Music Using Category Theory

@article{Padi2018ModelingAA,
  title={Modeling and Analysis of Indian Carnatic Music Using Category Theory},
  author={Sarala Padi and Spencer Breiner and Eswaran Subrahmanian and Ram D. Sriram},
  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems},
  year={2018},
  volume={48},
  pages={967-981}
}
This paper presents a category theoretic ontology of Carnatic music. [] Key Method The construction of this platform uses formal methods of CT (colimits) to merge our Carnatic ontology with a generic model of music information retrieval tasks. The latter model allows us to integrate multiple analytical methods, such as hidden Markov models, machine learning algorithms, and other data mining techniques like clustering, bagging, etc., in the analysis of a variety of different musical features.
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References

SHOWING 1-10 OF 73 REFERENCES
Motif Spotting in an Alapana in Carnatic Music
TLDR
An attempt is made to spot typical melodic motifs of a raga queried in a musical piece using a two pass dynamic programming approach, with pitch as the basic feature.
Raga Identification of Carnatic music for Music Information Retrieval
TLDR
This work proposes a method to identify the raga of a Carnatic music signal, which could be used to index the songs and further for retrieval based on the Raga, and determines the singer to know the fundamental frequency of the singer.
Music Information Retrieval of Carnatic Songs Based on Carnatic Music Singer Identification
  • R. SridharT. Geetha
  • Computer Science
    2008 International Conference on Computer and Electrical Engineering
  • 2008
TLDR
A new set of features that can be used in the process of Carnatic music singer identification is proposed and implemented and these features are based on Carnaticmusic characteristics like just tempered, varying pitch, varying interval of the octave, etc.
Music Retrieval: A Tutorial and Review
  • N. Orio
  • Computer Science
    Found. Trends Inf. Retr.
  • 2006
TLDR
An overview of the techniques for music processing, which are commonly exploited in many approaches, is presented and a description of the initial efforts and evaluation campaigns for MIR is provided.
Motivic analysis and its relevance to raga identification in carnatic music
TLDR
An attempt is made to deter mine the characteristic motifs that enable identification o f a r¯ aga and distinguish between them and results do indicate that about 80% of the motifs are identified as belonging to a specific r° aga accurately.
Music Ontology for Mood and Situation Reasoning to Support Music Retrieval and Recommendation
TLDR
This paper presents Context-based Music Recommendation (COMUS) ontology, a music dedicated ontology in OWL constructed by incorporating domain specific classes for music recommendation into the Music Ontology, which include situation, mood and musical features.
The segment ontology: Bridging music-generic and domain-specific
TLDR
A Segment Ontology is presented as the backbone of an approach that models properties from the musicological domain independently from MIR implementations and their signal processing foundations, whilst maintaining an accurate and complete description of the relationships linking them.
A Beat Tracking Approach to Complete Description of Rhythm in Indian Classical Music
TLDR
An algorithm that uses a beat similarity matrix and inter onset interval histogram to automatically extract the sub-beat structure and the long-term periodicity of a musical piece is presented.
A novel application of group delay function for identifying tonic in Carnatic music
TLDR
A novel application of the group delay function - to identify the tonic pitch in Carnatic music (one of the main sub genres of Indian classical music), which is tested by identifying tonic on a large varied database with an accuracy of 90.70%.
Generalised Sketches as an algebraic graph-based framework for semantic modeling and database design
A graph-based speciication language and the corresponding machinery are described as stating a basic framework for semantic modeling and database design. It is shown that a few challenging
...
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