Publications

Ganguli, Kaustuv Kanti, and Preeti Rao. "A study of variability in raga motifs in performance contexts." Journal of New Music Research 50, no. 1 (2021): 102-116.

Ganguli, Kaustuv, and Carlos Guedes. "An approach to adding knowledge constraints to a data-driven generative model for Carnatic rhythm sequence." Trends in Electrical Engineering 9, no. 3 (2019): 11-17.

Ganguli, Kaustuv Kanti, and Preeti Rao. "On the distributional representation of ragas: Experiments with allied raga pairs." Transactions of the International Society for Music Information Retrieval 1, no. 1 (2018).

Srinivasamurthy, Ajay, Andre Holzapfel, Kaustuv Kanti Ganguli, and Xavier Serra. "Aspects of tempo and rhythmic elaboration in Hindustani music: A corpus study." Frontiers in Digital Humanities 4 (2017): 20.

Rao, Preeti, Joe Cheri Ross, Kaustuv Kanti Ganguli, Vedhas Pandit, Vignesh Ishwar, Ashwin Bellur, and Hema A. Murthy. "Classification of melodic motifs in raga music with time-series matching." Journal of New Music Research 43, no. 1 (2014): 115-131.

Rao, Preeti, Joe Cheri Ross, and Kaustuv Kanti Ganguli. "Distinguishing raga-specific intonation of phrases with audio analysis." Ninaad (Journal of ITC SRA), 26-27(1), 2013..

Ganguli, K. K., G. Lali, A. Anantapadmanabhan, and C. Guedes. “A passive approach to evaluat-ing Mridangam transcription via perceptual experiment,” in Proc. of the International Conference on Music Perception and Cognition (ICMPC), Jul 2021, Hyderabad, India. 

Ganguli, K. K., A. Anantapadmanabhan, and C. Guedes. “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), Jun 2021, Paris, France. 

Ganguli, K. K.,  A. Anantapadmanabhan, and C. Guedes. “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), Jun 2021, Paris, France. 

Ganguli, K. K., S. S¸ent¨urk, A. Eisenberg, and C. Guedes. “Computational approaches to aid ethnographic research on Maqam melodies,” in Proc. of the First (1st) Symposium of the ICTM Study Group on Sound, Movement, and the Sciences (SoMoS), Sep 2020, Stockholm, Sweden. 

Ganguli, K. K., C. Plachouras, S. S¸ent¨urk, A. Eisenberg, and C. Guedes. “Mapping Timbre Space in Regional Music Collections using Harmonic-Percussive Source Separation (HPSS) Decomposition,” in Proc. of the 2nd International Conference on Timbre, Sep 2020, Thessaloniki, Greece. 

Ganguli, K. K., A. Anantapadmanabhan, and C. Guedes. “Questioning the Fundamental Problem-Definition of Mridangam Transcription,” in Proc. of the 2nd International Conference on Timbre, Sep 2020, Thessaloniki, Greece. 

Ganguli, K. K., O. Gomez, L. Kuzmenko, and C. Guedes. “Developing immersive VR experience for visualizing cross-cultural relationships in music,” in Proc. of the Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (pp. 401-406), Mar 2020, Atlanta, USA.

Ganguli, K. K. and P. Rao. “Towards computational modeling of the ungrammatical in a raga performance,” in Proc. of the 18th International Society for Music Information Retrieval Conference (ISMIR), Oct 2017, Suzhou, China. 

Ganguli, K. K., S. Gulati, X. Serra, and P. Rao. “Data-driven exploration of melodic structures in Hindustani music,” in Proc. of the 17th International Society for Music Information Retrieval Conference (ISMIR), Aug 2016, New York, USA.

Gulati, S. , J. Serra, K. K. Ganguli, S. Senturk, and X. Serra. “Time-delayed melody surfaces for rga recognition,” in Proc. of the 17th International Society for Music Information Retrieval Conference (ISMIR), Aug 2016, New York, USA.

Ganguli, K. K., A. Rastogi, V. Pandit, P. Kantan, and P. Rao. “Efficient melodic query based audio search for Hindustani vocal compositions,” in Proc. of the 16th International Society for Music Information Retrieval Conference (ISMIR), Oct 2015, Malaga, Spain.

Ganguli, K. K., A. Lele, S. Pinjani, P. Rao, A. Srinivasamurthy, and S. Gulati. “Melodic shape stylization for robust and efficient motif detection in Hindustani vocal music,” in Proc. of the National Conference for Communications, Mar 2017, Chennai, India.

Ganguli, K. K.  and P. Rao. “Imitate or recall: How do musicians perform raga phrases?” in Proc. of the Frontiers of Research on Speech and Music (FRSM), Dec 2017, Rourkela, India.

Ganguli, K. K., and P. Rao. “Perceptual anchor or attractor: How do musicians perceive raga phrases?” in Proc. of the Frontiers of Research on Speech and Music (FRSM), Nov 2016, Baripada, India. 

K. K. Ganguli. “In quest of the natural therapeutic aspects in Indian raga music: A computational approach,” In Proc. of the Quantitative and Qualitative Music Therapy Research Workshop, Oct 2015, Barcelona, Spain. 

K. K. Ganguli. “How do we “see” and “say” a raga: A perspective canvas,” Samakalika Sangeetham, 3(2), 2013. [Technical reports:]

S. Gulati, K. K. Ganguli, S. Gupta, A. Srinivasamurthy, and X. Serra. “Ragawise: A Lightweight Real-time Raga Recognition System for Indian Art Music,” In Proc. of the 16th International Society for Music Information Retrieval Conference (ISMIR), Oct 2015, Malaga, Spain.