References

References#

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ABM13: A. Anantapadmanabhan, A. Bellur, and H. A. Murthy. Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, pages 313–318, 2013.
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BFR+19: Rachel Bittner, Magdalena Fuentes, David Rubinstein, Andreas Jansson, Keunwoo Choi, and Thor Kell. mirdata: Software for Reproducible Usage of Datasets. In In Proc. of the 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands., 99–106. 2019.
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CRS+22: M. Clayton, P. Rao, N. Shikarpur, S. Roychowdhury, and J. Li. Raga classification from vocal performances using multimodal analysis. In In Proc. of the 23rd International Conference on Music Information Retrieval (ISMIR), Bengaluru, India. 2022.
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DUBB19: missing journal in demucs
Gan19: missing school in ganguli_thesis
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GSIS16: Sankalp Gulati, Joan Serra, Vignesh Ishwar, and Xavier Serra. Discovering rāga motifs by characterizing communities in networks of melodic patterns. In In Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 286–290. 2016. doi:10.1109/ICASSP.2016.7471682.
GSG+16: Sankalp Gulati, Joan Serrà, Kaustuv K Ganguli, S Sertan, and Xavier Serra. Time-delayed melody surfaces for Raga recognition. In In Proc. of the 17th International Society for Music Information Retrieval Conference (ISMIR), New York City, USA., 751–757. 2016. doi:10.1080/09298215.2013.866145.
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GSK+15: Swapnil Gupta, Ajay Srinivasamurthy, Manoj Kumar, Hema A. Murthy, and Xavier Serra. Discovery of syllabic percussion patterns in tabla solo recordings. In In Proc. of the 16th International Society for Music Information Retrieval Conference (ISMIR), 385–391. 2015.
HKVM20: Romain Hennequin, Anis Khlif, Felix Voituret, and Manuel Moussallam. Spleeter: a fast and efficient music source separation tool with pre-trained models. Journal of Open Source Software, pages 1–4, 2020. doi:10.21105/joss.02154.
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MC19: Sathwik Tejaswi Madhusudhan and Girish Chowdhary. DEEPSRGM - Sequence classification and ranking in Indian classical music with deep learning. In In Proc. of the 20th International Society for Music Information Retrieval Conference, (ISMIR), Delft, The Netherlands., 533–540. 2019.
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PRNP+23: Genís Plaja-Roglans, Thomas Nuttall, Lara Pearson, Xavier Serra, and Marius Miron. Repertoire-specific vocal pitch data generation for improved melodic analysis of carnatic music. Transactions of the Int. Society for Music Information Retrieval, 6(1):13–26, 2023.
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RPS17: H. G. Ranjani, Deepak Paramashivan, and Thippur V. Sreenivas. Quantized Melodic Contours in Indian Art Music Perception: Application to Transcription. In Proceedings of the 18th International Society for Music Information Retrieval Conference, 174–180. Suzhou, China, 2017. doi:10.5281/zenodo.1417567.
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RSPS19: H. G. Ranjani, Ajay Srinivasamurthy, Deepak Paramashivan, and Thippur V. Sreenivas. A compact pitch and time representation for melodic contours in Indian art music. The Journal of the Acoustical Society of America, 145(1):597–603, 2019. doi:10.1121/1.5087277.
RRG+14: Preeti Rao, Joe Cheri Ross, Kaustuv Kanti Ganguli, Vedhas Pandit, Vignesh Ishwar, Ashwin Bellur, and HA Murthy. Melodic motivic analysis of indian music. Journal of New Music Research, 43(1):115–131, 2014.
RR10: Vishweshwara Rao and Preeti Rao. Vocal melody extraction in the presence of pitched accompaniment in polyphonic music. ACM/IEEE Transactions on Audio, Speech and Language Processing (TASLP), pages 2145–2154, 2010. doi:10.1109/TASL.2010.2042124.
RBR21: M.A. Rohit, Amitrajit Bhattacharjee, and Preeti Rao. Four-way classification of tabla strokes with models adapted from automatic drum transcription. In In Proc. of the 22nd International Society for Music Information Retrieval Conference, ISMIR, Online, 19–26. 2021.
SGS12: Justin Salamon, Sankalp Gulati, and Xavier Serra. A multipitch approach to tonic identification in indian classical music. In In Proc. of the 13th International Society for Music Information Retrieval Conference (ISMIR), Porto, Portugal, 499–504. 2012.
SG12: Justin Salamon and Emilia Gómez. Melody extraction from polyphonic music signals using pitch contour characteristics. ACM/IEEE Transactions on Audio, Speech and Language Processing (TASLP), pages 1759–1770, 2012. doi:10.1109/TASL.2012.2188515.
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Ser14: Xavier Serra. Creating research corpora for the computational study of music: the case of the compmusic project. In AES 53rd International Conference: Semantic Audio. London, UK, 2014. Audio Engineering Society.
SB21: Yeshwant Singh and Anupam Biswas. Deep learning based tonic identification in indian classical music. In In proc. of the 5th Conference on Information and Communication Technology (CICT), 1–6. 2021. doi:10.1109/CICT53865.2020.9672343.
SGRS20: Ajay Srinivasamurthy, Sankalp Gulati, Rafael Caro Repetto, and Xavier Serra. Saraga: Open Datasets for Research on Indian Art Music. Empirical Musicology Review, 2020.
SHCS15: Ajay Srinivasamurthy, Andre Holzapfel, Ali Taylan Cemgil, and Xavier Serra. Particle filters for efficient meter tracking with dynamic Bayesian networks. In In Proc. of the 16th International Society for Music Information Retrieval Conference (ISMIR), 197–203. 2015.
SHCS16: Ajay Srinivasamurthy, Andre Holzapfel, Ali Taylan Cemgil, and Xavier Serra. A generalized bayesian model for tracking long metrical cycles in acoustic music signals. In In Proc. of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), 76–80. 2016. doi:10.1109/ICASSP.2014.6854598.
SHTCS16: Ajay Srinivasamurthy, Andre Holzapfel, Ali Taylan Cemgil, and Xavier Serra. A generalized bayesian model for tracking long metrical cycles in acoustic music signals. In In Proc. of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), 76–80. 3 2016. doi:10.1109/ICASSP.2016.7471640.
SKG+14: Ajay Srinivasamurthy, Gopala Krishna Koduri, Sankalp Gulati, Vignesh Ishwar, and Xavier Serra. Corpora for music information research in Indian art music. In In Proc. of the 40th International Computer Music Conference (ICMC), Athens, Greece., 1029–1036. 2014.
S+17: Ajay Srinivasamurthy and others. A Data-driven bayesian approach to automatic rhythm analysis of indian art music. PhD thesis, Universitat Pompeu Fabra, 2017.
SS14a: Ajay Srinivasamurthy and Xavier Serra. A supervised approach to hierarchical metrical cycle tracking from audio music recordings. In In Proc. of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5217–5221. Institute of Electrical and Electronics Engineers Inc., 2014.
SS14b: Ajay Srinivasamurthy and Xavier Serra. A supervised approach to hierarchical metrical cycle tracking from audio music recordings. In In Proc. of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5217–5221. 2014. doi:10.1109/ICASSP.2014.6854598.
VK18: missing booktitle in velankar_patterns_2018
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VPMA20: Venkata Subramanian Viraraghavan, Arpan Pal, Hema Murthy, and R Aravind. State-Based Transcription of Components of Carnatic Music. In 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), 811–815. 2020. doi:10.1109/ICASSP40776.2020.9054435.
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YSYL21: Shuai Yu, Xiaoheng Sun, Yi Yu, and Wei Li. Frequency-Temporal Attention Network for Singing Melody Extraction. In In Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Canada., 251–255. 2021. doi:10.1109/icassp39728.2021.9413444.