Academic literature on the topic 'Carnatic music'

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Journal articles on the topic "Carnatic music"

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N, Kiritharan Sharma. "Importance of Mridangam (Percussion Instrument) in Carnatic Music Concerts." International Research Journal of Tamil 4, S-9 (July 28, 2022): 69–75. http://dx.doi.org/10.34256/irjt22s910.

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Music is an art that is loved by all the people of the world. Music is seen as the key factor in uniting all living beings in the world with God. There are many different types of music found all over the world. Among them, Carnatic music is found as a branch of Indian music genres. Carnatic music is seen as a music genre that mainly represents South India and is loved by many people worldwide. Our hymn is joyful. Music consists of three sections, namely: songs; instrumental music; and the mode of dancing. "Geetham" means vocal music, "Vaathiyam" means instrumental music, and "Niruthiyam" means dance. Carnatic music concerts are organised as vocal music and instrumental music concerts. The mridangam is the most important rhythmic and pitching instrument in Carnatic music concerts. The mridangam, the primary percussion instrument, is also the main instrument used in Carnatic music concerts to keep all the songs in a rhythmic pattern. In this research paper, the importance of the mridangam in Carnatic music concerts has been examined by presenting various matters. In that way, apart from the introduction and summary of the research paper, the introduction to the Carnatic music concert, the history of the mridangam instrument, and the uniqueness of the mridangam in Carnatic music concerts have been examined in this study.
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Niranjan, Sujatha. "How to Read Carnatic Music on Violin." Shanlax International Journal of Tamil Research 6, no. 2 (October 1, 2021): 70–75. http://dx.doi.org/10.34293/tamil.v6i2.4349.

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The violin is a major stringed instrument in South Indian music. It is played as the main instrument in Carnatic music and as an accompaniment to musical performances such as vocals. This is not the heritage instrument of India. Today there is no concert without Carnatic music. Thus it plays an important role in Carnatic music.The present form of this violin was composed in 16th century Italy. The violin, a folk instrument, was first used in South Indian music in the 18th century. It is also more important than any other instrument. It also plays an important role in major concerts. There are many reasons why it is played as the main instrument in Carnatic music more than any other instrument. It has developed to the point where it can be read more than any other instrument in the 20th century for various performances such as vocals, other instrumental events, orchestras, and dance performances. It is also found that Carnatic musicians (male/female) can adjust their pitch to suit their convenience. Since its introduction to Carnatic music, many great scholars have read and succeeded in Carnatic music. In addition, it plays a very important role in Palliya music and has a wide place in Carnatic music.
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Radhakrishnan, Nandhu, Savithri S.R., and Rammohan Gangisetty. "Expression of Emotions in Carnatic Vocal Music." Music and Medicine 8, no. 3 (July 31, 2016): 108. http://dx.doi.org/10.47513/mmd.v8i3.438.

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Voice is the element that makes speech audible. Apart from conveying the meaning of what is spoken, it can carry a variety of information about the speaker like gender, age, general health, mood, and emotions. Expressing emotions is a crucial aspect in speech communication and vocal music. Bhava, or emotions in vocal music convey the essence of the piece rendered by the singer. This preliminary study is to understand the role of the larynx in expressing emotions like joy and sorrow in Carnatic vocal music. Twelve Carnatic singers rendered vocal emotions at three levels, joy, sorrow, and neutral. The output was recorded, analyzed, and compared between each level. Results showed significant differences between the laryngeal dynamics of joy and sorrow. The results of this and future studies will help in designing voice therapy techniques for disorders like Parkinson’s disease that affect both facial and vocal expression of emotions. Keywords: emotions, carnatic, vocal, laryngealSpanishExpresión de Emociones en la música vocal carnáticaLa voz es el elemento que hace al habla audible. Aparte de trasmitir el significado de lo que se dice, puede llevar variedad de información sobre quien habla como el género, edad, estado de salud, humor, emoción. Expresar emociones es un aspecto crucial de la comunicación hablada y esto también ocurre en el canto. Las emociones en la música vocal transmiten la esencia de una pieza (Bhava) , dictada por el cantante. Este estudio preliminar es un intento de comprender el rol de la laringe en la expresión de emociones como alegría y tristeza en la música vocal carnática. Doce cantantes carnáticos interpretan emociones vocales en tres niveles: alegría, tristeza y neutro. La producción entre cada nivel fue grabada, analizada y comparada. Los resultados muestran diferencias significativas entre las dinámicas de la laringe en alegría y tristeza. El resulto de este y de estudios futuros ayudara a diseñar técnicas de terapia vocal para desordenes como la enfermedad de Parkinson que afecta la expresión vocal y facial de emociones.Palabras claves: Emociones, carnático , vocal , laringe GermanDer Ausdruck dvon Emotionen durch Carnatic vokale Musik Abstract: Die Stimme ist ein Element, das Sprache hörbar werden lässt. Abgesehen vom Inhalt dessen, was gesagt wird, überträgt sie verschiedenste Informationen über den Sprechenden, wie Geschlecht, Alter, allgemeine Gesundheit, Stimmung und Emotionen. Das Ausdrücken von Emotionen ist ein entscheidender Aspekt verbaler Kommunikation; dies ereignet sich auch beim Singen. Bhava oder Emotionen in vokaler Musik, überträgt die Essenz eines Stückes, das von dem Sänger wiedergegeben wird. Diese einleitende Studie ist ein Versuch, die Rolle der Larynx beim Ausdruck von Emotionen, wie Freude und Leid, durch Carnatic vokale Musik zu verstehen. 12 Carnatic Sänger interpretierten vokale Emotionen in drei Stufen: Freude, Leid und neutral. Der Output der drei Stufen wurde aufgenommen, analysiert und verglichen. Die Ergebnisse zeigten signifikante Unterschiede zwischen der Larynx- Dynamik bei Freude und Leid. Die Ergebnisse dieser und zukünftiger Studien werden helfen, vokale Therapietechniken für Krankheiten wie Parkinson zu erstellen, die beides, den mimischen und vokalen Ausdruck von Emotionen beeinflussen. ItalianEspressioi ed Emozioni nella Musica Vocale CarnaticaLa voce è l’elemento che rende le nostre parole udibili. Oltre a trasmettere il significato di ciò che viene detto, può trasportare una varietà di informazioni riguardanti chi in quel momento sta parlando come, il sesso, l’età , lo stato generale di salute, l’umore e l’emozione.. Esprimere un emozione è un aspetto cruciale nella comunicazione verbale e questo avviene anche nel canto. Bhava, o le emozioni in musica comunicano l’essenza di brano, trasmessa dal cantante.. Questo studio preliminare e`un tetativo di comprendere il ruolo della laringe nell’esprimere emozoni come la gioia e il dolore nella musica vocale Carnatica. 12 cantanti Carnatici hanno fornito 3 livelli di emozioni vocali: gioia, dolore e neutralità. Il prodotto tra I vari livelli è stato registrato, analizzato, e comparato. I risultati hanno mostrato differenze significative tra le dinamiche della laringe di gioia e di dolore. Questi risultati e gli studi futuri aiuteranno alla progettazione di tecniche di logopedia per disturbi come il morbo di Parkinson, che colpisce sia l’espressione facciale che vocale dell’espressione.Parole chiave: musica vocale carnatica, laringeJapaneseカルナータカ音楽の声における感情表現について 声とは、ことばを聴覚化するための要素である。語られている事柄の意味を伝達するだけでなく、声は、語り手の様々な情報、例えば性別、年齢、健康状態、気分、感情などを伝える媒体となる。感情表現とは、言語的コミュニケーションにおける重要な要素であり、これは歌唱でも同様である。声楽音楽におけるバーヴァ(Bhava)また感情は、その曲の根本的要素であり、歌手によって表現されるものである。この予備研究は、カルナータカ音楽の歌唱で喜びや哀しみ等の感情を表現する際、歌手の喉頭部がいかに作用しているかについて理解するための検証である。方法は、12名のカルナータカ音楽の歌手が、3つのレベルの感情(喜び、悲しみ、ニュートラル)を歌唱表現する。各レベルの違いは、すべて録音され、分析され、比較された。結果として、喜びと悲しみの表現における喉頭部の動きに、大きな差が生じていることが分かった。この結果と将来的研究は、パーキンソン病などの表情や発語における感情表現に困難を持つ対象者に対して、声を使ったセラピーの 技法を設計する際に有効になると考える。キーワード:感情、カルナータカ音楽、声楽、喉頭部
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Sruthy Chandrasekhar. "Kerala and Carnatic Music." Integrated Journal for Research in Arts and Humanities 2, no. 2 (March 31, 2022): 22–25. http://dx.doi.org/10.55544/ijrah.2.2.17.

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In this chapter, keeping in mind the historical perspective of music in Kerala from pre-historic times, the evolution of Carnatic music from secular music in Kerala over a period of time has been enumerated and studied in detail.
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Sruthy Chandrasekhar. "Kerala and Carnatic Music." Integrated Journal for Research in Arts and Humanities 2, no. 2 (March 31, 2022): 22–25. http://dx.doi.org/10.55544/ijrasb.2.2.17.

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In this chapter, keeping in mind the historical perspective of music in Kerala from pre-historic times, the evolution of Carnatic music from secular music in Kerala over a period of time has been enumerated and studied in detail.
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Sankar Ganesh, J. "Impact of Carnatic Raga-s on the Milk Yield of Cows." Shanlax International Journal of Arts, Science and Humanities 8, no. 2 (October 1, 2020): 83–87. http://dx.doi.org/10.34293/sijash.v8i2.3318.

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Music is an integral part of human evolution. Indian music is religiously rooted and added as an essential part of religious activities. It is believed that Indian music originated and evolved from Samaveda. The origin of musical sounds perceived by birds and animals illustrates the close relationship of music with the environment. The other species of planet earth can also be influenced by music documented in various earlier literature. Experiments on the influence of music on the milking habit of cows started amid the 19th century in foreign countries. In India, this is a primordial attempt made by the author to study the influence of Carnatic music on the cows. This paper is intended to highlight the positive power of various aspects of Carnatic music on the milk yield of the cows. This paper is an outcome of the UGC- Major Research project, sanctioned to the author, entitled “Impact of Carnatic music on the milk yield of S.V. Gosamrakshanashala- Tirupati.”
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Wren, Toby. "Remembering Palghat Raghu." Ethnomusicology 67, no. 1 (January 1, 2023): 96–122. http://dx.doi.org/10.5406/21567417.67.1.07.

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Abstract Palghat Raghu was a master of the mridangam and one of the leading figures in South Indian Carnatic music. In this article, I want to contribute a perspective on his musical life and, through my reflections on my time with him, contribute insights toward a fuller understanding of Carnatic music and Western engagements with it. I do so by drawing on fieldwork I conducted in Chennai, India, at various times between 2005–2013. Specifically, I use examples of solkattu from my lessons with him to illustrate Raghu's approach to rhythm and the general rhythmic approach within Carnatic music, including the kinds of musical-cognitive skills involved in rhythmic production within the Carnatic system. By describing aspects of his practice and his various interactions with other musicians, I also reflect on his position as a culture-bearer and on the relationships between musical cultures.
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Diwakar, Pranathi. "City Music—A Reprise." Contexts 20, no. 1 (February 2021): 63–64. http://dx.doi.org/10.1177/1536504221997873.

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Allen, Matthew, and T. V. Kuppuswami. "Carnatic Music and the Tamils." Notes 51, no. 4 (June 1995): 1345. http://dx.doi.org/10.2307/899141.

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N, Kiritharan Sharma. "Bharathiyar's Passion for Carnatic Music and Folk Music." International Research Journal of Tamil 4, S-11 (September 9, 2022): 104–10. http://dx.doi.org/10.34256/irjt224s1114.

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Mahakavi Subramania Bharathiyar was a great poet of the twentieth century. Mahakavi Bharathiyar's works are considered as great treasures for the Tamil community. Even at an early age, Bharathiyar had a great affection and knowledge of the Tamil language. He started writing poetry at the age of seven while still studying at school. At the age of eleven, he showed his talent for poetry and the King of Ettayapuram, who appreciated his poetry, gave him the title of "Bharathi". From that day he was known as "Subramania Bharathiyar". Bharathiyar is also very passionate about music. Mahakavi Bharathiyar has given many works to this world through his attachment to music, many songs and many social ideas through his songs. In this way, some of Bharathiyar's musical works and musical messages have been examined in this research paper. The sub-topics of the study of this research paper are the sub-topics Bharathiyar and Carnatic Music, Bharathiyar and Folk Music except the introduction and conclusion respectively. Bharathiyar's attachment to music and his musical knowledge are explained under the subheading Bharathiyar's Music. Bharathiyar's attachment to Carnatic music is explained in the subtitle Bharathiyar and Carnatic Music. Finally, under the title Bharathiyar and folk music, the folk music songs created by Bharathiyar in folk music depicting the life and environment of the rural people are highlighted under this title. Therefore, various musical messages found in Bharathiyar's work under these three sub-headings have been examined in this review. These respectively are seen as the theme of this research paper.
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Dissertations / Theses on the topic "Carnatic music"

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Krishnamurthy, Thanmayee. "Sing Rāga, Embody Bhāva: The Way of Being Rasa." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1505144/.

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The rasa theory of Indian aesthetics is concerned with the nature of the genesis of emotions and their corresponding experiences, as well as the condition of being in and experiencing the aesthetic world. According to the Indian aesthetic theory, rasa ("juice" or "essence," something that is savored, that is tasted) is an embodied aesthetic experienced through an artistic performance. In this thesis, I have investigated how the aesthetics of rasa philosophy account for creative presence and its experiences in Karnatik vocal performances. Beyond the facets of grammar, Karnatik rāga performance signifies a deeper ontological meaning as a way to experience rasa, idiomatically termed as rāga-rasa by South Indian rāga practitioners. A vocal performance of a rāga ideally depends on a singer's embodied experience of rāga and rāga-bhāva (emotive expression of rāga), as much as it does on his/her theoretical knowledge and skillset of a rāga's svaras (scale degrees), gamakas (ornamentation), lakṣhaṇās (emblematic phrases), and so on. Reflecting on my own experience of being a Karnatik student and performer for the last two decades, participant observation, interviews, and analysis of Indian aesthetic theory of rasa, I propose a way of understanding that to sing rāga is to embody bhāva opening the space that brings rasa into being. Reflecting on the epistemology of rāga theory, particularly its smaller entities of svaras and gamakas, and through a phenomenological description of the process through which a vocalist embodies rāga (including how a guru transmits this musical embodiment to his shishya [disciple]), I argue that the notion of rāga-rasa itself has agency in determining the nature of svaras and its gamakas in a rāga performance. Additionally, focusing on the relationship between performers and rasikas (drinkers of the juice), this thesis examines how the embodiment of rāga-bhāva and the experience of rasa open the possibility for musicians and audiences to live rāga-rasa in a performance.
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Robinson, N. Scott. ""Tradition and Renewal: The Development of the Kanjira in South India"." Kent State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1374989200.

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Moore, Darren. "The Adaptation of Indian Carnatic Rhythmic Structures and Improvisation Methods into Drum Set Language and Performance Practice." Thesis, Griffith University, 2013. http://hdl.handle.net/10072/367339.

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This research project is a documentation of a developmental journey centered on the incorporation of rhythmic elements from South Indian Carnatic music into an existing musical practice. The research provides an insight into the creative process of learning, adaptation and recontextualization of new musical elements into an existing musical practice that may provide a model and transferable methodology for musicians endeavouring to undertake similar research journeys of musical development. The Adaptation of Indian Carnatic Rhythmic Structures and Improvisation Methods into Drum Set Language and Performance explores the transformation process that occurs as a result of incorporating Carnatic rhythmic elements into the author’s drum set playing style. Through learning Carnatic rhythms, adapting the rhythms to the drum set and then applying the rhythms to musical situations, the research aims to observe the influence of this process on the author’s drum set playing within a performance context. The research focuses on examining the drum set playing on two different recordings. The recordings are presented as the creative works of the research, emphasizing audio-as-research which places listening as the central method of transmission. The creative works can be considered the primary vehicles through which the investigation of the performance practice occurs, with the exegesis serving to place the recordings within a written research context. The exegesis also provides the necessary background and contextual framework for the creative works.
Thesis (Professional Doctorate)
Doctor of Musical Arts (DMA)
Queensland Conservatorium of Music
Arts, Education and Law
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Nelson, David Paul. "Mrdangam mind the tani āvartanam in Karnatak music /." Ann Arbor, Mich. : UMI Dissertation Information Service, 1991. http://catalog.hathitrust.org/api/volumes/oclc/36660333.html.

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Thesis (Ph. D.)--Wesleyan University, Middletown, Connecticut, 1991.
"A dissertation in music submitted in Partial Fulfillment of the Requirements for the Doctor of Philosophy ..." Includes bibliographical references (v. 1: p. 390-391).
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Nadadur, Kannan Rajalakshmi. "Performing 'religious' music : interrogating Karnatic Music within a postcolonial setting." Thesis, University of Stirling, 2013. http://hdl.handle.net/1893/18272.

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This research looks at contemporary understandings of performance arts in India, specifically Karnatic Music and Bharatnatyam as ‘religious’ arts. Historically, music and dance were performed and patronized in royal courts and temples. In the early 20th century, increased nationalist activities led to various forms of self-scrutiny about what represented ‘true’ Indian culture. By appropriating colonial discourses based on the religious/secular dichotomy, Karnatic Music was carefully constructed to represent a ‘pure’ Indian, specifically ‘Hindu’ culture that was superior to the ‘materialistic’ Western culture. Importantly, the category called divine was re-constructed and distinguished from the erotic: the divine was represented as a category that was sacred whilst the erotic represented ‘sexual impropriety.’ In so doing, performance arts in the public sphere became explicitly gendered. Feminity and masculinity were re-defined: the female body was re-imagined as ‘sexual impropriety’ when in the public sphere, but when disembodied in the private sphere could be deified as a guardian of spirituality. Traditional performing communities were marginalized while the newly defined music and dance was appropriated by the Brahmin community, who assumed the role of guardians of the newly constructed Indian-Hindu identity, resulting in caste-based ‘ownership’ of performance arts. Mechanical reproduction of Karnatic Music has created a disconnect in contemporary Indian society, in which Karnatic Music is disembodied from its contexts in order to be commodified as an individual’s artistic expression of creativity. This move marks a shift from substantive economics (music was performed and experienced within a specific context, be it royal patronage or Indian nationalist movements) to formal economics (music as a performer’s creative property). I question the understanding of Karnatic Music as ‘religious’ music that is distinguished from the ‘secular’ and seek to understand the colonial patriarchal mystification of the female body in the private sphere by deconstructing the definition of the ‘divine.’ In doing so, I also question the contemporary understanding of Karnatic Music as an item of property that disembodies the music from its historical context.
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Rao, Madhuri Preeti. "Senior Composition Thesis." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/scripps_theses/812.

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I had performed a recital of my compositions on April 22, 2016. This thesis is a portfolio of all of my compositions, including the program from my recital, program notes for each piece, and all scores. My senior recital consisted of two distinct halves. The first half was an exploration of abstract, theoretical, and experimental concepts in Western Art Music. The second half was an exploration in synthesizing the Carnatic music system with Western Art Music styles. This half was also an experiment in reversing musical orientalism, which has been historically prevalent in Western Art Music.
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Wren, Toby Christopher. "Improvising Culture: Discursive Interculturality as a Critical Tool, Aesthetic, and Methodology for Intercultural Music." Thesis, Griffith University, 2015. http://hdl.handle.net/10072/367035.

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This research considers musicians from different cultural backgrounds, improvising together, and ‘improvising’ new musical contexts. It springs from my practice as a composer and improvising guitarist, exploring the borders between South Indian Carnatic music and jazz. The process of collaborating with musicians from different traditions raises questions about the ways that musicians draw on their acquired knowledge in the production of intercultural music: How do musicians from different cultures interpret each others’ musical gestures and negotiate a cohesive performance? At play throughout the dissertation are the conflicting notions of individual expression, and culturally derived archetypal models of expression. The relationship between musicians and cultures is explored through an ethnographic methodology. The dissertation begins with a critical review of the literature on intercultural hybridity that reveals the way that power inequalities have historically characterised many of the exchanges between the West and its Others. In the course of analysing the products of interculture, the discussion also examines the inherent problem of hybridity’s reception, given the different cultural frames of reference of different audiences. From the analysis of hybridity, improvisation emerges as a key locus for examining the way in which musicians are heard to negotiate self and culture in intercultural hybridity. A new understanding of improvisation is proposed based on an examination of the literature from diverse disciplines including cognitive psychology, complex adaptive systems, embodiment and ethnographic accounts of improvisers. Improvisation is situated as a dynamic process of developing preferences based on cultural acquisition, which enables us to understand the different approaches developed by improvisers and broader cultural differences between musical systems. The relationship between improvisation and culture necessitates a rethinking of the way that we listen to and analyse the products of interculture.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Queensland Conservatorium
Arts, Education and Law
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Rogers, Glenn Andrew. "The application of Konokol to guitar improvisation and composition." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2017. https://ro.ecu.edu.au/theses/1956.

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This dissertation is an exploration of the rhythmic concepts used in two South Indian musical theory concepts, solkattu and konokol. Konokol application largely depends on instrument limitations and musical contexts. The principle focus here is on my personal application of konokol to the guitar both through composed and improvised music. A detailed study of konokol was undertaken through private lessons in India and personal experimentation to determine how these concepts could be adapted to Western improvisation, harmony and composition, as well as right--‐hand classical guitar and plectrum techniques. This was done intuitively by exploring guitar techniques and konokol simultaneously. The outcome of this study was a process applied to guitar composition and improvisation. Graphic numerical tables and geometrical representations are outlined in this dissertation as a guide to understanding this process. The second outcome of this research includes a series of Western compositions improvised and through--‐composed. This outcome explores a fundamental concept, the practical applications of konokol and mrdangam patterns to guitar composition and guitar improvisation. The appendices include a practical reference guide to many of these concepts, providing a valuable and a beneficial resource for any musician who would like to use and understand rhythmic concepts outside the Western musical tradition. A compact disc of my original compositions demonstrating my application of konokol concepts and theories to guitar composition is also included as part of this research. This dissertation presents an alternative framework and methodology to the Western canon of rhythmic knowledge and involves rethinking numbers, rhythm and phrasing in a manner that is essentially different to the Western pedagogy of rhythmic knowledge. Possible future research on the collective memory and fractal design of konokol and how this is related to memory is also proposed.
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Koduri, Gopala Krishna. "Towards a multimodal knowledge base for Indian art music: a case study with melodic intonation." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/402439.

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This thesis is a result of our research efforts in building a multi-modal knowledgebase for the specific case of Carnatic music. Besides making use of metadata and symbolic notations, we process natural language text and audio data to extract culturally relevant and musically meaningful information and structuring it with formal knowledge representations. This process broadly consists of two parts. In the first part, we analyze the audio recordings for intonation description of pitches used in the performances. We conduct a thorough survey and evaluation of the previously proposed pitch distribution based approaches on a common dataset, outlining their merits and limitations. We propose a new data model to describe pitches to overcome the shortcomings identified. This expands the perspective of the note model in-vogue to cater to the conceptualization of melodic space in Carnatic music. We put forward three different approaches to retrieve compact description of pitches used in a given recording employing our data model. We qualitatively evaluate our approaches comparing the representations of pitched obtained from our approach with those from a manually labeled dataset, showing that our data model and approaches have resulted in representations that are very similar to the latter. Further, in a raaga classification task on the largest Carnatic music dataset so far, two of our approaches are shown to outperform the state-of-the-art by a statistically significant margin. In the second part, we develop knowledge representations for various concepts in Carnatic music, with a particular emphasis on the melodic framework. We discuss the limitations of the current semantic web technologies in expressing the order in sequential data that curtails the application of logical inference. We present our use of rule languages to overcome this limitation to a certain extent. We then use open information extraction systems to retrieve concepts, entities and their relationships from natural language text concerning Carnatic music. We evaluate these systems using the concepts and relations from knowledge representations we have developed, and groundtruth curated using Wikipedia data. Thematic domains like Carnatic music have limited volume of data available online. Considering that these systems are built forweb-scale data where repetitions are taken advantage of, we compare their performances qualitatively and quantitatively, emphasizing characteristics desired for cases such as this. The retrieved concepts and entities are mapped to those in the metadata. In the final step, using the knowledge representations developed, we publish and integrate the information obtained from different modalities to a knowledge-base. On this resource, we demonstrate how linking information from different modalities allows us to deduce conclusions which otherwise would not have been possible.
Esta tesis es resultado de nuestro trabajo de investigación para construir una base de conocimiento multimodal para el caso específico de la música carnática. Además de hacer uso de metadatos y notación simbólica, procesamos texto de lenguaje natural y datos de audio para extraer información culturalmente relevante y musicalmente significativa, y estructurarla con representaciones formales de conocimiento. En líneas generales, este proceso consiste en dos partes. En la primera parte, analizamos grabaciones de audio para describir la entonación de las alturas usadas en las interpretaciones. Llevamos a cabo un exhaustivo análisis y evaluación de los métodos basados en distribución de altura propuestos anteriormente, señalando sus ventajas y limitaciones. Proponemos un nuevo modelo de datos para la descripción de alturas con el fin de superar las limitaciones identificadas. Esto amplía la perspectiva del modelo actual de nota para contribuir a la conceptualización del espacio melódico en música carnática. Ofrecemos tres propuestas diferentes para la extracción de una descripción compacta de las alturas usadas en una grabación dada utilizando nuestro modelo de datos. Evaluamos cualitativamente nuestras propuestas comparando las representaciones de alturas obtenidas según nuestro método con aquellas procedentes de un conjunto de datos anotado manualmente, con lo que mostramos que nuestro modelo de datos y nuestras propuestas resultan en representaciones muy similares a estas últimas. Además, en una tarea de clasificación de raagas en el mayor conjunto de datos de música carnática hasta la fecha, dos de nuestras propuestas muestran mejor rendimiento que el estado del arte con un margen estadístico significativo. En la segunda parte, desarrollamos representaciones de conocimiento para varios conceptos en música carnática, con un particular énfasis en el marco melódico. Discutimos las limitaciones de las tecnologías de web semántica actuales para expresar el orden de datos secuenciales, lo que restringe la aplicación de inferencia lógica. Presentamos nuestro uso de lenguajes de reglas para superar hasta cierto punto esta limitación. A continuación utilizamos sistemas abiertos de extracción de información para extraer conceptos, entidades y sus relaciones a partir de texto de lenguaje natural relacionado con música carnática. Evaluamos estos sistemas usando los conceptos y las relaciones de las representaciones de conocimiento que hemos desarrollado, así como información de referencia contrastada con datos de Wikipedia. Dominios temáticos como el de música carnática tienen un volumen limitado de datos disponibles en internet. Considerando que estos sistemas están construidos para datos a escala de la web, en la que es posible beneficiarse de las repeticiones, comparamos sus rendimientos cualitativa y cuantitativamente, enfatizando las características deseadas para casos como este. Los conceptos y entidades extraídas son mapeadas a aquellos existentes en los metadatos. En el paso final, usando las representaciones de conocimiento desarrolladas, publicamos e integramos la información obtenida por diferentes modalidades en una base de conocimiento. Con este recurso demostramos como la conexión de información de diferentes modalidades nos permite deducir conclusiones que de otra manera no habrían sido posibles.
Aquesta tesi és el resultat de la nostra investigació per a construir una base de coneixement multimodal per a la música Carnàtica. A part d’utilitzar metadades i representacions simbòliques musicals, també processem text en llenguatge natural i l’àudio mateix per tal d’extreure informació que sigui rellevant tant des d’un punt de vista cultural com musical i que puguem estructurar amb representacions formals de coneixement. El procés que seguim està compost principalment de dues parts. En la primera part analitzem les gravacions d’àudio per descriure’n l’entonació de les altures tonals utilitzades. Comparem i avaluem aproximacions existents basades en histogrames d’altures tonals utilitzant una base de dades comuna de referència i en subratllem els avantatges i les limitacions. Proposem un nou model de dades per descriure l’altura tonal de les notes i superar les limitacions prèviament identificades. Aquest model va més enllà dels ja establerts i permet acomodar la conceptualització de l’espai melòdic en la música Carnàtica. Utilitzant el nostre model de dades proposem tres mètodes diferents per extreure descripcions compactes de les altures tonals de les notes d’una gravació. Fem una avaluació qualitativa a través de la comparació de descripcions generades amb els mètodes proposats i descripcions generades manualment, i comprovem que els nostres mètodes generen descripcions molt semblants a les generades manualment. També comprovem com els nostres mètodes són útils per a la classificació de raga avaluant amb la base de dades més gran de música Carnàtica que s’ha creat fins al dia d’avui. Dos dels nostres mètodes obtenen puntuacions més altes que els millors mètodes existents, amb marges de millora estadísticament significatius. En la segona part de la nostra investigació desenvolupem representacions de coneixement sobre diversos conceptes de la música Carnàtica, posant un èmfasi especial en aspectes melòdics. Parlem sobre les limitacions de les tecnologies de la web semàntica pel que fa a la representació del concepte d’ordre en dades seqüencials, fet que limita les possibilitats d’inferències lògiques. Proposem l’ús de llenguatges de normes per, fins a cert punt, superar aquestes limitacions. Després utilitzem sistemes d’extracció d’informació per recuperar conceptes, entitats i les seves relacions a partir de l’anàlisi de text natural sobre música Carnàtica. Avaluem aquests sistemes utilitzant conceptes i relacions extretes de representacions de coneixement que nosaltres mateixos hem desenvolupat i també utilitzant dades curades provinents de la Wikipedia. Per temàtiques com la música Carnàtica hi ha un volum de dades limitat accessible en línia. Tenint en compte que aquests sistemes estan pensats per funcionar amb grans volums de dades on les repeticions són importants, en fem una comparació qualitativa i quantitativa emfatitzant aquelles característiques més rellevants per casos amb volums de dades limitats. Els conceptes i entitats recuperades són emparellats amb conceptes i entitats presents a les nostres metadades. Finalment, utilitzant les representacions de coneixement desenvolupades, integrem les informacions obtingues de les diferents modalitats i les publiquem en una base de coneixement. Utilitzant aquesta base de coneixement demostrem com el fet de combinar informacions provinents de diferents modalitats ens permet arribar a conclusions que d’una altra manera no haurien estat possibles.
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Gulati, Sankalp. "Computational approaches for melodic description in indian art music corpora." Doctoral thesis, Universitat Pompeu Fabra, 2016. http://hdl.handle.net/10803/398984.

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Automatically describing contents of recorded music is crucial for interacting with large volumes of audio recordings, and for developing novel tools to facilitate music pedagogy. Melody is a fundamental facet in most music traditions and, therefore, is an indispensable component in such description. In this thesis, we develop computational approaches for analyzing high-level melodic aspects of music performances in Indian art music (IAM), with which we can describe and interlink large amounts of audio recordings. With its complex melodic framework and well-grounded theory, the description of IAM melody beyond pitch contours offers a very interesting and challenging research topic. We analyze melodies within their tonal context, identify melodic patterns, compare them both within and across music pieces, and finally, characterize the specific melodic context of IAM, the rāgas. All these analyses are done using data-driven methodologies on sizable curated music corpora. Our work paves the way for addressing several interesting research problems in the field of mu- sic information research, as well as developing novel applications in the context of music discovery and music pedagogy. The thesis starts by compiling and structuring largest to date music corpora of the two IAM traditions, Hindustani and Carnatic music, comprising quality audio recordings and the associated metadata. From them we extract the predominant pitch and normalize by the tonic context. An important element to describe melodies is the identification of the meaningful temporal units, for which we propose to detect occurrences of nyās svaras in Hindustani music, a landmark that demarcates musically salient melodic patterns. Utilizing these melodic features, we extract musically relevant recurring melodic pat- terns. These patterns are the building blocks of melodic structures in both improvisation and composition. Thus, they are fundamental to the description of audio collections in IAM. We propose an unsupervised approach that employs time-series analysis tools to discover melodic patterns in sizable music collections. We first carry out an in-depth supervised analysis of melodic similarity, which is a critical component in pattern discovery. We then improve upon the best possible competing approach by exploiting peculiar melodic characteristics in IAM. To identify musically meaningful patterns, we exploit the relationships between the discovered patterns by performing a network analysis. Extensive listening tests by professional musicians reveal that the discovered melodic patterns are musically interesting and significant. Finally, we utilize our results for recognizing rāgas in recorded performances of IAM. We propose two novel approaches that jointly capture the tonal and the temporal aspects of melody. Our first approach uses melodic patterns, the most prominent cues for rāga identification by humans. We utilize the discovered melodic patterns and employ topic modeling techniques, wherein we regard a rāga rendition similar to a textual description of a topic. In our second approach, we propose the time delayed melodic surface, a novel feature based on delay coordinates that captures the melodic outline of a rāga. With these approaches we demonstrate unprecedented accuracies in rāga recognition on the largest datasets ever used for this task. Although our approach is guided by the characteristics of melodies in IAM and the task at hand, we believe our methodology can be easily extended to other melody dominant music traditions. Overall, we have built novel computational methods for analyzing several melodic aspects of recorded performances in IAM, with which we describe and interlink large amounts of music recordings. In this process we have developed several tools and compiled data that can be used for a number of computational studies in IAM, specifically in characterization of rāgas, compositions and artists. The technologies resulted from this research work are a part of several applications developed within the CompMusic project for a better description, enhanced listening experience, and pedagogy in IAM.
La descripció automàtica d’enregistraments musicals és crucial per interactuar amb grans volums de dades i per al desenvolupament de noves eines per a la pedagogia musical. La melodia és una faceta fonamental en la majoria de les tradicions musicals i, per tant, és un component indispensable per a la descripció automàtica d’enregistraments musicals. En aquesta tesi desenvolupem sistemes computacionals per analitzar aspectes melòdics d'alt nivell presents en la música clàssica de l’Índia (MCI), a partir dels quals descrivim i interconnectem grans quantitats d'enregistraments d'àudio. La descripció de melodies en la MCI, complexes i amb una base teòrica ben fonamentada, va més enllà de l’anàlisi estàndard de contorns de to (“pitch” en anglès), i, per tant, és un tema de recerca molt interessant i tot un repte. Analitzem les melodies dins del seu context tonal, identifiquem patrons melòdics, els comparem tant amb ells mateixos com amb altres enregistraments, i, finalment, caracteritzem el context melòdic específic de la música IAM: els rāgas. Tots els anàlisis s’han realitzat utilitzant metodologies basades en dades, amb un corpus musical de mida considerable. Iniciem la tesi recopilant la col·lecció més gran de MCI obtinguda fins al moment. Aquesta col·lecció comprèn enregistraments de qualitat amb metadades de música Hindustani i Carnatic, les dues grans tradicions de la MCI. A partir d’aquí analitzem el to predominant i normalitzem la peça pel context tonal. Un element important per a descriure melodies és la identificació d’unitats temporals rellevants, per la qual cosa detectem les ocurrències de nyās svaras en la MCI, que serveixen com a marques identificadores dels patrons melòdics més destacats. Utilitzant aquestes característiques melòdiques, extraiem els patrons melòdics recurrents més destacats. Aquests patrons són els blocs que construeixen les estructures melòdiques, tant en la improvisació i com en la composició. Per tant, són fonamentals per a la descripció de col·leccions de música MCI. Proposem partir d’un enfocament no supervisat que utilitza eines d'anàlisi basades en sèries temporals per descobrir patrons melòdics en grans col·leccions de música. En primer lloc, hem realitzat un anàlisi supervisat extensiu sobre la similitud melòdica, que és un component fonamental per al descobriment de patrons. A continuació, millorem els resultats (respecte al millor competidor segons l’estat de la qüestió) explotant les característiques peculiars dels patrons melòdics de la música MCI. Per identificar patrons musicalment rellevants, explotem les relacions entre els patrons descoberts mitjançant un anàlisi de xarxa. Extenses proves realitzades amb músics professionals revelen que els patrons melòdics descoberts són musicalment interessants i significatius. Finalment, fem servir els nostres resultats per al reconeixement de rāgas en actuacions gravades d'IAM. Proposem dos enfocaments nous que capturen conjuntament el to i els aspectes temporals de la melodia. El primer enfoc utilitza patrons melòdics, l’aspecte més important per als éssers humans a l’hora d’identificar rāgas. Utilitzem els patrons melòdics descoberts i fem servir tècniques de modelatge de temes (“topic modeling” en anglès), on considerem que la interpretació d’un raga és similar a la descripció textual d’un tema. En el nostre segon enfocament, proposem utilitzar el “time delayed melodic surface”, una característica innovadora basada en coordenades de retard que captura l’evolució melòdica del rāga. Amb aquests enfocaments demostrem una precisió sense precedents per al reconeixement de rāgas en el conjunt de dades més gran utilitzat mai per a aquesta tasca. Encara que el nostre enfocament està basat en les característiques de les melodies MCI i la tasca en qüestió, creiem que la nostra metodologia es pot estendre fàcilment a altres tradicions de la música on la melodia és rellevant. En general, hem incorporat nous mètodes computacionals per a l'anàlisi de diversos aspectes melòdics per a interpretacions de MCI, a partir dels quals descrivim i inter-connectem gran quantitat d'enregistraments de música. En aquest procés hem recopilat dades i hem desenvolupat diverses eines que poden ser utilitzades per a diferents estudis computacionals per a MCI, específicament en la caracterització de rāgas, composicions i artistes. Les tecnologies resultants d'aquest treball d’investigació són part de diverses aplicacions desenvolupades dins el projecte CompMusic que pretén millorar la descripció, l’experiència auditiva, i la pedagogia de la MCI.
La descripción automática del contenido de música grabada es crucial para la interacción con grandes colecciones de grabaciones de audio y para el desarrollo de nuevas herramientas que faciliten la pedagogía musical. La melodía es un aspecto fundamental para la mayoría de las tradiciones musicales, y es por tanto un componente indispensable para tal descripción. En esta tesis desarrollamos propuestas computacionales para el análisis de aspectos melódicos de alto nivel en interpretaciones musicales de Música Clásica de la India (MCI), con las que podemos describir e interrelacionar grandes cantidades de grabaciones de audio. Debido a su complejidad melódica y a su sólido marco teórico, la descripción de la melodía en MCI más allá de la línea melódica supone un interesante y desafiante objeto de investigación. Analizamos melodías en su contexto tonal, identificamos patrones melódicos, comparamos ambos tanto en piezas individuales como entre diferentes piezas, y finalmente caracterizamos el contexto melódico específico de MCI, los rāgas. Todos estos análisis se llevan a cabo mediante métodos dirigidos por datos en corpus de música de considerable tamaño y meticulosamente organizados. La tesis comienza con la confección y estructuración de los mayores corpus musicales hasta la fecha de las dos tradiciones de MCI, indostaní y carnática. Dichos corpus están formados por grabaciones de audio de alta calidad y sus correspondientes metadatos. De estas extraemos la línea melódica predominante y la normalizamos según la tónica de su contexto. Un elemento importante para la descripción de melodías es la identificación de unidades temporales significativas, para lo que proponemos detectar en música indostaní las ocurrencias de nyās svaras, marcas que delimitan patrones melódicos musicalmente prominentes. A partir de estas características melódicas, extraemos patrones melódicos recurrentes y musicalmente relevantes. Estos patrones son las unidades básicas con las que se construyen estructuras melódicas tanto en improvisaciones como composiciones, y por tanto son fundamentales para la descripción de colecciones de audio en MCI. Proponemos un método no supervisado basado en el análisis de las series temporales para el descubrimiento de patrones melódicos en colecciones musicales de tamaño considerable. En primer lugar llevamos a cabo un análisis supervisado en profundidad de similitud melódica, que es el componente crítico para el descubrimiento de patrones. A continuación mejoramos la propuesta más competitiva sirviéndonos de las características melódicas propias de MCI. Para identificar patrones musicalmente significativos, hacemos uso de las relaciones entre los patrones descubiertos mediante la implementación de análisis de redes. Exhaustivas evaluaciones auditivas por parte de músicos profesionales de los patrones melódicos descubiertos revelan que estos son musicalmente interesantes y significativos. Finalmente, utilizamos nuestros resultados para el reconocimiento de rāgas en interpretaciones grabadas de MCI. Proponemos dos métodos nuevos que captan conjuntamente los aspectos tonales y temporales de la melodía. Nuestro primer método se sirve de patrones melódicos, los principales indicadores para la identificación de rāgas por parte de oyentes humanos. Utilizamos los patrones melódicos descubiertos y empleamos técnicas de modelado de temas, en las que equiparamos la interpretación de un rāga a la descripción textual de un tema. En nuestro segundo método, proponemos una superficie melódica de tiempo de retardo, una característica nueva basada en las coordenadas de retraso que captan el contorno melódico de un rāga. Con estos métodos alcanzamos precisiones sin precedentes en el reconocimiento de rāgas en los mayores conjuntos de datos nunca usados para esta tarea. Aunque nuestra propuesta se fundamenta en las características de las melodías en MCI y la tarea en cuestión, creemos que nuestra metodología puede ser fácilmente aplicable a otras tradiciones musicales predominantemente melódicas. En resumen, hemos construido nuevos métodos computacionales para el análisis de varios aspectos melódicos de interpretaciones grabadas de MCI, con las que describimos e interrelacionamos grandes cantidades de grabaciones musicales. En este proceso hemos desarrollado varias herramientas y reunido datos que pueden ser empleados en numerosos estudios computacionales de MCI, específicamente para la caracterización de rāgas, composiciones y artistas. Las tecnologías resultantes de este trabajo de investigación son parte de varias aplicaciones desarrolladas en el proyecto CompMusic para la mejora de la descripción, experiencia de escucha, y enseñanza de MCI.
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Books on the topic "Carnatic music"

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Vasudevan, T. S. Carnatic music composers. Chennai: T.V. Sundaravalli, 2008.

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Bhagyalekshmy, S. Ragas in Carnatic music. Trivandrum, S. India: CBH Publications, 1990.

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Iyengar, B. R. C. Listening to Carnatic music. Hyderabad, India: Savithiri Charitable Trust, 1998.

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Bhagyalekshmy, S. Carnatic music compositions: An index. Trivandrum: CBH Publications, 1994.

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S, Rajagopalan T. Easy ways to enjoy Carnatic music. Madras: Abirami Prints, 1989.

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K, S. V. Galaxy of carnatic musicians. Chennai: Alliance Co., 2008.

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K, S. V. Galaxy of carnatic musicians. Chennai: Alliance Co., 2008.

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Ayyar, A. S. Panchapakesa, and A. S. Panchapakesa Iyer. Karnataka sangeeta sastra: Theory of Carnatic music. Madras: Ganamrutha Prachuram, 1989.

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Ayyar, A. S. Panchapakesa, and A. S. Panchapakesa Iyer. Karnataka sangeeta sastra: Theory of Carnatic music. Madras: Ganamrutha Prachuram, 1996.

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India), Music Academy (Chennai, ed. Aesthetic and scientific values in Carnatic music. Chennai: Parampara, 1997.

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Book chapters on the topic "Carnatic music"

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Suma, S. M., Shashidhar G. Koolagudi, Pravin B. Ramteke, and K. S. Rao. "Note Transcription from Carnatic Music." In Advances in Intelligent Systems and Computing, 123–29. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9683-0_13.

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Suma, S. M., and Shashidhar G. Koolagudi. "Raga Classification for Carnatic Music." In Advances in Intelligent Systems and Computing, 865–75. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2250-7_86.

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Jones, Tim. "Formative trainings in Carnatic vocal music." In Time and Performer Training, 101–7. Abingdon, Oxon; New York, NY: Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781351180368-11.

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Heshi, Rushiraj, S. M. Suma, Shashidhar G. Koolagudi, Smriti Bhandari, and K. S. Rao. "Rhythm and Timbre Analysis for Carnatic Music Processing." In Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics, 603–9. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2538-6_62.

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Pulijala, Amulya Sri, Aditya Bhattacharjee, Sakthi Balan Muthiah, and Suryakanth V. Gangashetty. "Raga Classification in Carnatic Music Using Audio Thumbnailing." In Lecture Notes in Computer Science, 55–62. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-12700-7_6.

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Shetty, Surendra, K. K. Achary, and Sarika Hegde. "Raga Identification in CARNATIC Music Using Hidden Markov Model Technique." In Communications in Computer and Information Science, 414–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29216-3_45.

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Varadharajan, Janani, Guruprasad Sridharan, Vignesh Natarajan, and Rajeswari Sridhar. "Automatic Synthesis of Notes Based on Carnatic Music Raga Characteristics." In Smart Innovation, Systems and Technologies, 145–52. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07353-8_17.

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Shetty, Surendra, and Sarika Hegde. "Automatic Classification of Carnatic Music Instruments Using MFCC and LPC." In Data Management, Analytics and Innovation, 463–74. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9949-8_32.

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Acharya, Sathwik, Vihar Devalla, Om Amitesh, and Ashwini. "Analytical Comparison of Classification Models for Raga Identification in Carnatic Classical Audio." In Advances in Speech and Music Technology, 211–22. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6881-1_18.

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Nuttall, Thomas, Genís Plaja-Roglans, Lara Pearson, and Xavier Serra. "The Matrix Profile for Motif Discovery in Audio - An Example Application in Carnatic Music." In Music in the AI Era, 228–37. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35382-6_18.

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Conference papers on the topic "Carnatic music"

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Sridhar, Rajeswari, and T. V. Geetha. "Music Information Retrieval of Carnatic Songs Based on Carnatic Music Singer Identification." In 2008 International Conference on Computer and Electrical Engineering (ICCEE). IEEE, 2008. http://dx.doi.org/10.1109/iccee.2008.118.

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Vyas, Harsh M., Suma S. M., Shashidhar G. Koolagudi, and Guruprasad K. R. "Identifying gamakas in Carnatic music." In 2015 Eighth International Conference on Contemporary Computing (IC3). IEEE, 2015. http://dx.doi.org/10.1109/ic3.2015.7346662.

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N J, Prajwal, Sameeksha Keshav, and Rashmi R. "Emotion Based Carnatic Music Recommendation System." In 2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS). IEEE, 2023. http://dx.doi.org/10.1109/csitss60515.2023.10334239.

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Nandekar, Abhishek, Preeth Khona, Rajani MB, Anindya Sinha, and Nithin Nagaraj. "Causal Analysis of Carnatic Music Compositions." In 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2021. http://dx.doi.org/10.1109/conecct52877.2021.9622710.

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Ragesh Rajan, M. "Singing Voice Synthesis System for Carnatic Music." In 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2018. http://dx.doi.org/10.1109/spin.2018.8474033.

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Upadhyaya, Prithvi, Suma S. M., and Shashidhar G. Koolagudi. "Identification of allied raagas in Carnatic music." In 2015 Eighth International Conference on Contemporary Computing (IC3). IEEE, 2015. http://dx.doi.org/10.1109/ic3.2015.7346666.

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Kuriakose, Jom, J. Chaitanya Kumar, Padi Sarala, Hema A. Murthy, and Umayalpuram K. Sivaraman. "Akshara transcription of mrudangam strokes in Carnatic music." In 2015 Twenty First National Conference on Communications (NCC). IEEE, 2015. http://dx.doi.org/10.1109/ncc.2015.7084906.

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Viraraghavan, Venkata Subramanian, Arpan Pal, Hema Murthy, and R. Aravind. "State-Based Transcription of Components of Carnatic Music." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9054435.

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Sasindran, Zitha, and Shayan Srinivasa Garani. "Modeling Ornaments in Carnatic Music Signals via Wavelets." In 2020 54th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2020. http://dx.doi.org/10.1109/ieeeconf51394.2020.9443302.

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Pulijala, Amulya Sri, and Suryakanth V. Gangashetty. "Tala Classification in Carnatic Music using Audio Thumbnailing." In 10th International Conference on Computer Science, Engineering and Applications (CCSEA 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101015.

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