Publications
Questioning the Fundamental Problem-Definition of Mridangam Transcription.
Ganguli, K., Anantapadmanabhan, A, & Guedes, C. (2020). Questioning the Fundamental Problem-Definition of Mridangam Transcription. In Timbre conference, Thessaloniki, Greece. [link]
An approach to adding knowledge constraints by fractal analysis on a generative model of Carnatic rhythm sequence.
Ganguli, K., Anantapadmanabhan, A, & Guedes, C. (2020). An approach to adding knowledge constraints by fractal analysis on a generative model of Carnatic rhythm sequence. Accepted for publication in Analytical Approaches to World Music Conference (AAWM), Paris, France. [link]
Fractal Modeling of Carnatic Rhythm Sequence: Case-study on a Generative Model.
Ganguli, K. Anantapadmanabhan, A, & Guedes, C. (2019). Fractal Modeling of Carnatic Rhythm Sequence: Case-study on a Generative Model. Proceedings of the International Society of Music Information Retrieval conference (ISMIR 2019), Delft, The Netherlands. [link]
Challenges in computational modelling and generation of Carnatic percussion music.
Guedes, C., Trochidis, K., & Anantapadmanabhan A. (2018a). Challenges in computational modelling and generation of Carnatic percussion music. Challenges in Carnatic Music generation. Proceedings of the 5th International Conference of Analytical Approaches to World Music, Thessaloniki, Greece. [link]
Modeling Carnatic Rhythm Generation: A Data-Driven approach based on Rhythmic Analysis.
Guedes, C., Trochidis, K., & Anantapadmanabhan, A. (2018b) Modeling Carnatic Rhythm Generation: A Data-Driven approach based on Rhythmic Analysis. Proceedings of the 15th Sound & Music Computing Conference, Limassol, Cyprus, 2018. [link]
CAMeL: Carnatic Percussion Music Generation Using N-Gram and Clustering Approaches.
Guedes, C., Trochidis, K., and Anantapadmanabhan, A. (2017). CAMeL: Carnatic Percussion Music Generation Using N-Gram and Clustering Approaches. Abstract submission for the 16th Rhythm Perception and Production Workshop (RPPW) [link]
A data-driven approach for Carnatic percussion music generation.
Trochidis, K., Guedes, C. & Anantapadmanabhan, A. (2017) A data-driven approach for Carnatic percussion music generation. Proceedings of the 10th International workshop on machine learning and music. Barcelona, Spain, 2017. [link]
Analysis-By-Synthesis of Rhythm in South Indian Art Percussion Performances by Means of Statistical Analysis.
Trochidis, K., Guedes, C., Holzapfel, A., Anantapadmanabhan, A., & Klaric, A. (2016). Analysis-By-Synthesis of Rhythm in South Indian Art Percussion Performances by Means of Statistical Analysis. Proceedings of the 4th International Conference of Analytical Approaches to World Music (AAWM). New York, 2016. [link]
CAMeL: Carnatic Percussion Music Generation Using N-Gram Models.
Trochidis, K., Guedes, C., Anantapadmanabhan, A. & Klaric, A. (2016). CAMeL: Carnatic Percussion Music Generation Using N-Gram Models. Proceedings of the 13th Sound and Music Computing Conference (SMC 2016). Hamburg, Germany. [link]
Tonic-Independent Stroke Transcription of the Mridangam.
Anantapadmanabhan, A., Bello, J.P., Krishnan, R. and Murthy, H. (2014). Tonic-Independent Stroke Transcription of the Mridangam. Proceedings of the AES International Conference on Semantic Audio, London, UK. January.
Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization.
A Anantapadmanabhan, A Bellur, HA Murthy (2013), Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization. 2013 IEEE International Conference on Acoustics, Speech and Signal Processing