Relevant bibliographies by topics / Indian Classical Raga

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Indian Classical Raga'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Indian Classical Raga"

1

Aswale, Swati, Dr Prabhat Chandra Shrivastava, Dr Ratnesh Ranjan, and Seema Shende. "Indian Classical Music Recognition using Deep Convolution Neural Network." International Journal of Electrical and Electronics Research 12, no. 1 (2024): 73–82. http://dx.doi.org/10.37391/ijeer.120112.

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A divine approach to communicate feelings about the world occurs through music. There is a huge variety in the language of music. One of the principal variables of Indian social legacy is classical music. Hindustani and Carnatic are the two primary subgenres of Indian classical music. Models have been trained and taught to distinguish between Carnatic and Hindustani songs. This paper presents Indian classical music recognition based on multiple acoustic features (MAF) consisting of various statistical, spectral, and time domain features. The MAF provides the changes in intonation, timbre, pros
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Aswale, Swati, Dr Prabhat Chandra Shrivastava, Dr Ratnesh Ranjan, and Seema Shende. "Indian Classical Music Recognition using Deep Convolution Neural Network." International Journal of Electrical and Electronics Research 12, no. 1 (2024): 73–82. http://dx.doi.org/10.37391/10.37391/ijeer.120112.

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A divine approach to communicate feelings about the world occurs through music. There is a huge variety in the language of music. One of the principal variables of Indian social legacy is classical music. Hindustani and Carnatic are the two primary subgenres of Indian classical music. Models have been trained and taught to distinguish between Carnatic and Hindustani songs. This paper presents Indian classical music recognition based on multiple acoustic features (MAF) consisting of various statistical, spectral, and time domain features. The MAF provides the changes in intonation, timbre, pros
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3

Anagha A. Bidkar, Yogesh H. Dandawate, Rajkumar S. Deshpande. "North Indian Classical Instrumental Raga Music: Multifractal Parameters Analysis and Raga Recognition System." Journal of Information Systems Engineering and Management 10, no. 29s (2025): 962–74. https://doi.org/10.52783/jisem.v10i29s.4611.

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Introduction: The foundation of Indian classical music is the raga. Ancient music literature describes raga as a collection of particular arrangement of musical notes, that turns into soothing music. According to basic music theory, the raga segments have fractal properties. In fractal theory, the scale of the music note (signal) can be altered while maintaining its shapeObjectives: This enhances musical quality with improved raga note. In the proposed work, Codebook of Feature (CoF) model is used to recognize 12 Indian classical ragas. The application considered is north Indian classical inst
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Pragyan Paramita Rout, Rageshree swain, and Sanhita Padhi. "Effect of synchronized sound waves in the form of Indian Classical Ragas on Phytochemical analysis of Chamaecostus cuspidatus (Nees & Mart.) C. Specht & D. W. Stev." International Journal of Frontiers in Biology and Pharmacy Research 3, no. 1 (2022): 018–29. http://dx.doi.org/10.53294/ijfbpr.2022.3.1.0049.

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Synchronized sound waves in the form of Indian classical ragas have a remarkable impact on the living beings. According to various studies, Indian Classical music has been confirmed to encourage plant growth positively and it is observed that the sounds from metal-rock, rock, rap, pop, and monotonous sounds have a negative impact on plant growth. The present research work was aimed at finding the impact and effect of the synchronized sound waves and their frequencies in different strings and closed-pipe Indian classical instrumental music displayed through various Ragas, viz: Raga- Kedar (flut
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Rajan, Rajeev, and Sreejith Sivan. "Raga Recognition in Indian Carnatic Music Using Convolutional Neural Networks." WSEAS TRANSACTIONS ON ACOUSTICS AND MUSIC 9 (May 7, 2022): 5–10. http://dx.doi.org/10.37394/232019.2022.9.2.

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A vital aspect of Indian Classical music (ICM) is raga, which serves as a melodic framework for compositions and improvisations for both traditions of classical music. In this work, we propose a CNN-based sliding window analysis on mel-spectrogram and modgdgram for raga recognition in Carnatic music. The impor- tant contribution of the work is that the pro- posed method neither requires pitch extraction nor metadata for the estimation of raga. CNN learns the representation of raga from the pat- terns in the melspectrogram/ modgdgram dur- ing training through a sliding-window analysis. We train
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Roy, Samarjit, Sudipta Chakrabarty, and Debashis De. "Time-Based Raga Recommendation and Information Retrieval of Musical Patterns in Indian Classical Music Using Neural Networks." IAES International Journal of Artificial Intelligence (IJ-AI) 6, no. 1 (2017): 33. http://dx.doi.org/10.11591/ijai.v6.i1.pp33-48.

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In Indian Classical Music (ICM) perspective, Raga is formed from the different and correct combination of notes. If it is observed the history of Indian Classical Raga in ICM, the playing or serving each of the ragas has some unique sessions. The procedure is to suggest the classifications of playing a raga has been attempted to display by explaining unique musical features and pattern matching. This contribution has been represented how music structures can be advanced through a more conceptual demonstration and consent to unambiguously describe process of computational modeling of Musicology
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Samarjit, Roy, Chakrabarty Sudipta, and De Debashis. "Time-Based Raga Recommendation and Information Retrieval of Musical Patterns in Indian Classical Music Using Neural Networks." IAES International Journal of Artificial Intelligence (IJ-AI) 6, no. 1 (2017): 33–48. https://doi.org/10.5281/zenodo.4108231.

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In Indian Classical Music (ICM) perspective, Raga is formed from the different and correct combination of notes. If it is observed the history of Indian Classical Raga in ICM, the playing or serving each of the ragas has some unique sessions. The procedure is to suggest the classifications of playing a raga has been attempted to display by explaining unique musical features and pattern matching. This contribution has been represented how music structures can be advanced through a more conceptual demonstration and consent to unambiguously describe process of computational modeling of Musicology
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Kari, Yamini Krishna. "Evaluation of music through C programming-Challenges and Limitations." Naad Nartan Journal of Dance and Music 12, no. 1 (2024): 47–53. https://doi.org/10.5281/zenodo.11030914.

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<em>The development stages of music have drastically changed with technology in various areas like recording, sound generation </em><em>software, and studio equipment, etc. Among all other technological aspects, basic programming languages like C, C++, and </em><em>C# play a vital role in the advancement of music. This research paper mainly focuses on generating swarasthanas and the </em><em>sounds of swarasthanas using C Programming Language commands. It proves that C programming language can be used to </em><em>generate 12 notes of Indian music and Swarasthanas of 72 Melakarta ragas of Carna
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Pal, Tanmoy. "An Analysis of Indian Music Aesthetics with Particular Reference to Hindustani Classical Music." Praxis International Journal of Social Science and Literature 6, no. 5 (2023): 1–9. https://doi.org/10.51879/PIJSSL/060501.

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<em>Indian classical music is thought to arouse the emotions (Rasas) within. The aesthetics of music have assisted various researchers in discovering its practical use for a healthier living. Both Hindustani ragas have the ability to evoke the rasas. Raga treatment is thought to be useful in alleviating tension, relaxing the mind, and regulating blood flow. Raga treatment has numerous health benefits, as our ancient texts have long stated. This article attempts to demonstrate how the emotions in music have been effectively demonstrated to be a beneficial tool in the treatment of many psycholog
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Jani, Pooja A., and Shweta Jejurkar. "Contribution of Kramik Pustak Malika of Chatur Pandit in the field of Indian Music and its Relevance." HARIDRA 2, no. 07 (2021): 62–70. http://dx.doi.org/10.54903/haridra.v2i07.7773.

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Indian Classical Music is the best gift of Indian culture to the world. Indian Classical Music is of two types – उत्तर हिन्दुस्तानी संगीत पद्धति एवं दक्षिण हिन्दुस्तानी संगीत पद्धति. The roots of Indian Music are found in Vedas. Sanskrit is the ancient language and we found it in the Vedas. Many treatises related to music systems are also found in Sanskrit Language. To learn music properly, every learner has to go through two paths – 1. Theoretical music (Ancient treatises) 2. Practical Music (which follows Guru Shishya tradition). Pandit Bhatkhande has given wonderful and helpful notation sys
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Dissertations / Theses on the topic "Indian Classical Raga"

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Peri, Deepthi. "Applying Natural Language Processing and Deep Learning Techniques for Raga Recognition in Indian Classical Music." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99967.

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In Indian Classical Music (ICM), the Raga is a musical piece's melodic framework. It encompasses the characteristics of a scale, a mode, and a tune, with none of them fully describing it, rendering the Raga a unique concept in ICM. The Raga provides musicians with a melodic fabric, within which all compositions and improvisations must take place. Identifying and categorizing the Raga is challenging due to its dynamism and complex structure as well as the polyphonic nature of ICM. Hence, Raga recognition—identify the constituent Raga in an audio file—has become an important problem in music inf
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Books on the topic "Indian Classical Raga"

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Kumar, Santhosh S. Modes of Indian classical music for the moods of Christian worship. CSS, 2012.

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Maitra, Binata. A new approach to the analysis and teaching methodology of Indian classical music. Jnan Annesan, 1993.

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Morgan, Paula. Writing rage: Unmasking violence through Caribbean discourse. University of the West Indies Press, 2007.

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Vālmīki. The Rāmāyaṇa of Vālmīki: An epic of ancient India : volume IV, Kiṣkindhākāṇḍa. Princeton University Press, 1994.

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Vālmīki. The Rāmāyaṇa of Vālmīki: An epic of ancient India. Princeton University Press, 1990.

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Vālmīki. The Rāmāyaṇa of Vālmīki: An epic of ancient India. Princeton University Press, 1990.

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Vālmīki. The Rāmāyaṇa of Vālmīki: An epic of ancient India; volume VI, Yuddhakāṇḍa. Princeton University Press, 2009.

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Arnold, J. Douglas, and Zach Meston. Awesome Sega Genesis Secrets 3. Sandwich Islands Publishing, 1993.

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Ragas in Indian classical music. Gian Pub. House, 1989.

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10

ओेडिशी राग रत्नाबली Odishi Raga Ratnavalee. Bhagabati Prakashani, 2004.

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Book chapters on the topic "Indian Classical Raga"

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Shirude, Snehalata B., and Satish R. Kolhe. "Recognizing Raga of Indian Classical Songs Using Regular Expressions." In Intelligent Systems for Smart Cities. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6984-5_24.

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Shah, Devansh P., Nikhil M. Jagtap, Prathmesh T. Talekar, and Kiran Gawande. "Raga Recognition in Indian Classical Music Using Deep Learning." In Artificial Intelligence in Music, Sound, Art and Design. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72914-1_17.

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Joshi, Dipti, and Jyoti Pareek. "Automated Indian Classical Raga Identification: A Bird’s Eye View." In Information Systems Engineering and Management. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-90482-0_23.

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Sharma, Akhilesh K., and Prakash Ramani. "Rigorous Data Analysis and Performance Evaluation of Indian Classical Raga Using RapidMiner." In Advances in Intelligent Systems and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5687-1_9.

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Bhat, Ashwini, Karrthik Gopi Krishnan, Vishal Mahesh, and Vijaya Krishna Ananthapadmanabha. "Deep Learning Approach to Joint Identification of Instrument Pitch and Raga for Indian Classical Music." In Advances in Speech and Music Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18444-4_8.

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Srikantha, M. L., R. Shrujan, and R. Hemavathy. "Classification of Ragas of Indian Classical Music Using RNN-LSTM." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9554-7_26.

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Mullik, Gopalan. "Bharata’s Theory of Aesthetic Pleasure or Rasa: Classical Indian Theories of “Aesthetics” and Their Relation to Cinema." In Explorations in Cinema through Classical Indian Theories. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45611-5_5.

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Sarma, Nandini, and Pranita Sarmah. "A Graph-Theoretical Approach for Comparison Between the Pair of Allied Ragas Bhupali and Deshkar of North Indian Classical Music." In Asset Analytics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0872-7_12.

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Ruckert, George E. "Prestige, Status, and the History of Instrumental Music in North India." In Music and Dance as Everyday South Asia. Oxford University Press, 2024. https://doi.org/10.1093/oso/9780197566237.003.0011.

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Abstract In North Indian classical music, instrumental music has surged to the forefront in popularity. In a world wherein vocal music held a central position for centuries, the change came as somewhat of a surprise to traditionalists; instrumental music has usually been in a secondary place both because of its accompanying role and because the great vocalists of the past held prestige for their command of the literature of raga. This chapter demonstrates through analysis of ancient literature, iconography, instrumental development, and socio-religious forces that instruments have historically
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Roebert, Donovan. "Rasa in Filmed Classical Indian Dance." In Essays on Classical Indian Dance. Jenny Stanford Publishing, 2021. http://dx.doi.org/10.1201/9781003121138-38.

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Conference papers on the topic "Indian Classical Raga"

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Katte, Trupti, and B. S. Tiple. "Techniques for Indian classical raga identification- A survey." In 2014 Annual IEEE India Conference (INDICON). IEEE, 2014. http://dx.doi.org/10.1109/indicon.2014.7030372.

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Sarkar, Saurabh, Sandeep Singh Solanki, and Soubhik Chakraborty. "Time domain analysis of Indian classical raga rendition." In 2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT). IEEE, 2017. http://dx.doi.org/10.1109/ciact.2017.7977385.

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Arora, V., L. Behera, and P. Sircar. "Singing voice synthesis for Indian Classical Raga system." In IET Irish Signals and Systems Conference (ISSC 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.1710.

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Adhikary, Sneha, Manasa S. M, Shreesha S. K, Shreya Bhat, and Kamatchi Priya L. "Automatic Music Generation of Indian Classical Music based on Raga." In 2023 IEEE 8th International Conference for Convergence in Technology (I2CT). IEEE, 2023. http://dx.doi.org/10.1109/i2ct57861.2023.10126388.

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Mewada, Shubbh, Fagun Patel, Sheshang Degadwala, and Dhairya Vyas. "Enhancing Raga Identification in Indian Classical Music with FCN-based Models." In 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA). IEEE, 2023. http://dx.doi.org/10.1109/icscna58489.2023.10370046.

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Singha, Anupam, N. R. Rajalakshmi, J. Arun Pandian, and S. Saravanan. "Deep Learning-Based Classification of Indian Classical Music Based on Raga." In 2023 6th International Conference on Information Systems and Computer Networks (ISCON). IEEE, 2023. http://dx.doi.org/10.1109/iscon57294.2023.10111985.

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John, Siji, M. S. Sinith, Sudheesh R. S, and Lalu P. P. "Classification of Indian Classical Carnatic Music Based on Raga Using Deep Learning." In 2020 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 2020. http://dx.doi.org/10.1109/raics51191.2020.9332482.

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Chandra, Shilpa, Kulbhushan Chand, and Varun Dutt. "Impact of Indian Classical Raga in Immersive Environments on Human Psycho-physiological Parameters." In PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments. ACM, 2023. http://dx.doi.org/10.1145/3594806.3596555.

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Gowrishankar, B. S., and U. Bhajantri Nagappa. "Automated Transcription for Raga Recognition and Classification in Indian Classical Music Using Machine Learning." In 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021). Atlantis Press, 2021. http://dx.doi.org/10.2991/ahis.k.210913.026.

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Sharma, Akhilesh K., Kamaljit I. Lakhtaria, Avinash Panwar, and Santosh Vishwakarma. "An Analytical approach based on self organized maps (SOM) in Indian classical music raga clustering." In 2014 Seventh International Conference on Contemporary Computing (IC3). IEEE, 2014. http://dx.doi.org/10.1109/ic3.2014.6897215.

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