References

References#

ABKM14: A. Anantapadmanabhan, J. P. Bello, R. Krishnan, and H. Murthy. Tonic-Independent Stroke Transcription of the Mridangam. In AES 53rd International Conference: Semantic Audio, London, UK. 2014.
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.
BIS12: A. Bellur, V. Ishwar, and X. Serra. A knowledge based signal processing approach to tonic identification in indian classical music. In 2nd CompMusic Workshop, 113–118. 2012.
Ber08: Srdjan Beronja. The Art of the Indian tabla. Rupa & Company, 2008.
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.
BMK09: Michael J. Bruderer, Martin F. McKinney, and Armin Kohlrausch. The perception of structural boundaries in melody lines of Western popular music. Musicae Scientiae, 13(2):273–313, 2009. doi:10.1177/102986490901300204.
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.
Cla08: Martin Clayton. Time in Indian music: rhythm, metre, and form in North Indian rag performance. Oxford University Press, 2008.
Dik08: Subbarama Diksitar. Sangita Sampradaya Pradarsini (English Web Edition). Volume 2013. http://ibiblio.org/guruguha/ssp.htm, 2008. URL: https://www.ibiblio.org/guruguha/ssp.htm.
Dut95: Aloke Dutta. Tablä: Lessons and Practice. author, 1995.
Gan19: missing school in ganguli_thesis
GGSR16: Kaustuv Kanti Ganguli, Sankalp Gulati, Xavier Serra, and Preeti Rao. Data-driven exploration of melodic structures in hindustani music. In In Proc. of the 17th International Society for Music Information Retrieval Conference (ISMIR), 605–611. New York City, USA, 2016.
GR18: Kaustuv Kanti Ganguli and Preeti Rao. On the Distributional Representation of Ragas: Experiments with Allied Raga Pairs. Transactions of the International Society for Music Information Retrieval (TISMIR), Paris, France., pages 79–95, 2018. doi:10.5334/tismir.11.
Got93: Robert S Gottlieb. Solo tabla drumming of North India: Its repertoire, styles, and performance practices. Motilal Banarsidass Publ., 1993.
GSS12: S. Gulati, J. Salamon, and X. Serra. A two-stage approach for tonic identification in indian art music. In 2nd CompMusic Workshop, 119–127. 2012.
GSIS15a: Sankalp Gulati, Joan Serra, Vignesh Ishwar, and Xavier Serra. Mining melodic patterns in large audio collections of Indian art music. In In Proc. of the 10th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS), Bangkok, Thailand., 264–271. 2015. doi:10.1109/SITIS.2014.73.
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.
GSIS15b: Sankalp Gulati, Joan Serrà, Vignesh Ishwar, and Xavier Serra. Mining melodic patterns in large audio collections of Indian art music. In In Proc. of the 10th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS), Bangkok, Thailand., 264–271. 2015. doi:10.1109/SITIS.2014.73.
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.
IDBM13: Vignesh Ishwar, Shrey Dutta, Ashwin Bellur, and Hema A Murthy. Motif Spotting in an Alapana in Carnatic Music. In In Proc. of the 14th International Society for Music Information Retrieval Conference (ISMIR), \normalfont Curitiba, Brazil, 499–504. 2013.
Kas00: Gayathri R. Kassebaum. Karnatak raga. In The Garland Encylcopaedia of World Music, number 5 in The Garland Encylcopaedia of World Music, pages 89–109. Garland, New York, 2000.
KISS14: Gopala Krishna Koduri, Vignesh Ishwar, Joan Serrà, and Xavier Serra. Intonation analysis of rāgas in Carnatic music. Journal of New Music Research, pages 73–94, 2014. doi:10.1109/ICASSP.2016.7471640.
KI12: T. M. Krishna and Vignesh Ishwar. Carnatic music: Svara, gamaka, motif and raga identity. In Proceedings of the 2nd CompMusic Workshop, pages 12–18. Universitat Pompeu Fabra, Barcelona, 2012.
LAD19: Stefan Lattner, Andreas Arzt, and Monika Dörfler. Learning complex basis functions for invariant representations of audio. In Proc. of the 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands, 2019.
MAVR20: Rohit M. A., T. P. Vinutha, and Preeti Rao. Structural segmentation of Dhrupad vocal bandish audio based on tempo. In Proc. of the 21st International Society for Music Information Retrieval Conference (ISMIR), 678–684. Montreal, Canada, 2020. ISMIR. URL: https://doi.org/10.5281/zenodo.4245522, doi:10.5281/zenodo.4245522.
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.
Meh08: Ramanlal Chhotalal Mehta. Indian Classical Music and Gharānā Tradition. Readworthy, 2008.
Mir11: Marius Miron. Automatic detection of hindustani talas. Master's thesis, Universitat Pompeu Fabra, Barcelona, Spain, 2011.
Nai05: Sadanand Naimpalli. Tabla. Popular Prakashan, 2005.
NW06: Laudan Nooshin and Richard Widdess. Improvisation in Iranian and Indian music. Journal of the Indian Musicological Society, 36:104–119, 2006.
NPRPS22a: Thomas Nuttall, Genís Plaja-Roglans, Lara Pearson, and Xavier Serra. In search of sancaras: tradition-informed repeated melodic pattern recognition in carnatic music. In In Proc. of the 23rd International Conference on Music Information Retrieval (ISMIR), Bengaluru, India. 2022.
NPRPS22b: Thomas Nuttall, Genís Plaja-Roglans, Lara Pearson, and Xavier Serra. The matrix profile for automated discovery of repeated motifs in audio - indian carnatic music. In International Symposium on Computer Music Multidisciplinary Research (CMMR), Tokyo, Japan. 2022.
Pea16: Lara Pearson. Coarticulation and gesture: an analysis of melodic movement in South Indian raga performance. Music Analysis, 35(3):280–313, 2016. doi:10.1111/musa.12071.
Pea21: Lara Pearson. “Improvisation” in Play: A View Through South Indian Music Practices. In The Routledge Handbook of Philosophy and Improvisation in the Arts, pages 446–461. Routledge, Abingdon, 2021.
Pea22: Lara Pearson. Inscription, Gesture and Social Relations: Notation in Karnatak Music. In Material Cultures of Music Notation: New Perspectives on Musical Inscription, pages 139–151. Routledge, Abingdon, 2022.
Pes09: Ludwig Pesch. The Oxford illustrated companion to South Indian classical music. Oxford University Press, New Delhi, 2009. ISBN 0-19-564382-8.
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.
PSS13: Alastair Porter, Mohamed Sordo, and Xavier Serra. Dunya: A system for browsing audio music collections exploiting cultural context. In In Proc. of the 14th International Society for Music Information Retrieval Conference (ISMIR), Curitiba, Brazil., 101–106. 2013.
PK01: Harold S. Powers and Jonathan Katz. India II: History of classical music. In Stanley Sadie, editor, The new Grove dictionary of music and musicians. 2nd ed., number 12, pages 155–170. Macmillan, London, 2001.
Ram04: N. Ramanathan. Sargam and musical conception in Karnataka system. In Sargam as a musical material. Mumbai, 2004. Dr. Prabha Atrre Foundation, Pu. La. Deshpande Maharashtra Kala Academy.
Ram07: N. Ramanathan. Improvisation in South Indian Music. Souvenir: Annual Music and Dance Festival, Indiranagar Sangeetha Sabha, 2007. URL: http://www.musicresearchlibrary.net/omeka/items/show/2330.
RAS11: H. G. Ranjani, S. Arthi, and T. V. Sreenivas. Carnatic music analysis: shadja, swara identification and raga verification in alapana using stochastic models. In Applications of Signal Processing to Audio and Acoustics (WASPAA), 29–32. 2011.
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.
RPS19: H. G. Ranjani, Deepak Paramashivan, and Thippur V. Sreenivas. Discovering structural similarities among raagas in indian art music: a computational approach. Sadhana, 2019. doi:10.1007/s12046-019-1112-2.
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.
Sam60: Pichu Sambamoorthy. History of Indian music. Indian Music Publishing House, Madras, 1960.
Sam98: Pichu Sambamoorthy. South Indian Music. The Indian Music Publishing House, 1998.
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
VVPR15: Prateek Verma, T. P. Vinutha, Parthe Pandit, and Preeti Rao. Structural segmentation of hindustani concert audio with posterior features. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 136–140, 2015. doi:10.1109/ICASSP.2015.7177947.
Vij09: K. G. Vijayakrishnan. The Function and Scope of Notation in Carnatic Music. Indian Musicological Society. Journal of the Indian Musicological Society, 40:140–145, 2009.
VAM17: V. S. Viraraghavan, R. Aravind, and H.A. Murthy. A statistical analysis of gamakas in carnatic music. In In Proc. of the 8th International Society for Music Information Retrieval Conference, (ISMIR), 243–246. Suzhou, China, 2017. doi:10.1109/ICASSP.2016.7471682.
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.
Vis77: Tanjore Viswanathan. The Analysis of Rāga ālāpana in South Indian Music. Asian Music, 9(1):13–71, 1977.
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.