Aesthetics of Music –A Detailed Study on Raga Therapy
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Towards Automatic Audio Segmentation of Indian Carnatic Music
Friedrich-Alexander-Universit¨at Erlangen-Nurnberg¨ Master Thesis Towards Automatic Audio Segmentation of Indian Carnatic Music submitted by Venkatesh Kulkarni submitted July 29, 2014 Supervisor / Advisor Dr. Balaji Thoshkahna Prof. Dr. Meinard Muller¨ Reviewers Prof. Dr. Meinard Muller¨ International Audio Laboratories Erlangen A Joint Institution of the Friedrich-Alexander-Universit¨at Erlangen-N¨urnberg (FAU) and Fraunhofer Institute for Integrated Circuits IIS ERKLARUNG¨ Erkl¨arung Hiermit versichere ich an Eides statt, dass ich die vorliegende Arbeit selbstst¨andig und ohne Benutzung anderer als der angegebenen Hilfsmittel angefertigt habe. Die aus anderen Quellen oder indirekt ubernommenen¨ Daten und Konzepte sind unter Angabe der Quelle gekennzeichnet. Die Arbeit wurde bisher weder im In- noch im Ausland in gleicher oder ¨ahnlicher Form in einem Verfahren zur Erlangung eines akademischen Grades vorgelegt. Erlangen, July 29, 2014 Venkatesh Kulkarni i Master Thesis, Venkatesh Kulkarni ACKNOWLEDGEMENTS Acknowledgements I would like to express my gratitude to my supervisor, Dr. Balaji Thoshkahna, whose expertise, understanding and patience added considerably to my learning experience. I appreciate his vast knowledge and skill in many areas (e.g., signal processing, Carnatic music, ethics and interaction with participants).He provided me with direction, technical support and became more of a friend, than a supervisor. A very special thanks goes out to my Prof. Dr. Meinard M¨uller,without whose motivation and encouragement, I would not have considered a graduate career in music signal analysis research. Prof. Dr. Meinard M¨ulleris the one professor/teacher who truly made a difference in my life. He was always there to give his valuable and inspiring ideas during my thesis which motivated me to think like a researcher. -
Note Staff Symbol Carnatic Name Hindustani Name Chakra Sa C
The Indian Scale & Comparison with Western Staff Notations: The vowel 'a' is pronounced as 'a' in 'father', the vowel 'i' as 'ee' in 'feet', in the Sa-Ri-Ga Scale In this scale, a high note (swara) will be indicated by a dot over it and a note in the lower octave will be indicated by a dot under it. Hindustani Chakra Note Staff Symbol Carnatic Name Name MulAadhar Sa C - Natural Shadaj Shadaj (Base of spine) Shuddha Swadhishthan ri D - flat Komal ri Rishabh (Genitals) Chatushruti Ri D - Natural Shudhh Ri Rishabh Sadharana Manipur ga E - Flat Komal ga Gandhara (Navel & Solar Antara Plexus) Ga E - Natural Shudhh Ga Gandhara Shudhh Shudhh Anahat Ma F - Natural Madhyam Madhyam (Heart) Tivra ma F - Sharp Prati Madhyam Madhyam Vishudhh Pa G - Natural Panchama Panchama (Throat) Shuddha Ajna dha A - Flat Komal Dhaivat Dhaivata (Third eye) Chatushruti Shudhh Dha A - Natural Dhaivata Dhaivat ni B - Flat Kaisiki Nishada Komal Nishad Sahsaar Ni B - Natural Kakali Nishada Shudhh Nishad (Crown of head) Så C - Natural Shadaja Shadaj Property of www.SarodSitar.com Copyright © 2010 Not to be copied or shared without permission. Short description of Few Popular Raags :: Sanskrut (Sanskrit) pronunciation is Raag and NOT Raga (Alphabetical) Aroha Timing Name of Raag (Karnataki Details Avroha Resemblance) Mood Vadi, Samvadi (Main Swaras) It is a old raag obtained by the combination of two raags, Ahiri Sa ri Ga Ma Pa Ga Ma Dha ni Så Ahir Bhairav Morning & Bhairav. It belongs to the Bhairav Thaat. Its first part (poorvang) has the Bhairav ang and the second part has kafi or Så ni Dha Pa Ma Ga ri Sa (Chakravaka) serious, devotional harpriya ang. -
Alamkara-Gamaka: an Anthology
IOSR Journal Of Humanities And Social Science (IOSR-JHSS) Volume 20, Issue 9, Ver. III (Sep. 2015), PP 122-125 e-ISSN: 2279-0837, p-ISSN: 2279-0845. www.iosrjournals.org Alamkara-Gamaka: An Anthology Arun S1, Dr. Choodamani Nandagopal2 1. (M.Phil Research Scholar, Faculty of Humanities and Social Sciences, Jain University, Bangalore, India) 2. (Guide and DEAN, Faculty of Humanities and Social Sciences, Jain University, Bangalore, India) Abstract: Music, by nature is a dynamic embellishment. But, it is the innate embellishments present within the art form and the artiste, makes it appreciable to a large audience. Alamkara (Fore-runners of Gamaka) and Gamaka (Certain melodic embellishment in the voice which is aesthetic to the aesthete) are the codified embellishments as per Sanskrit lexicons. These are not units in themselves but they are Unifying Forces. It is interesting that the mnemonic syllables (Abstract sound rhetoric units) emanated from percussion instruments which by nature are abstract units of sound phonemes perfectly synchronize with the diffused elements such as Alamkara and Gamaka. While summing up the thirty three Alamkaras of Bharata as per the treatise Natya Shastra, the “Tension-Retention Concept” discussed in the paper proves the above statement. Keywords: Alamkara, Gamaka, Mnemonic Syllables, Music, Natya Shastra, Nuances, Percussion, Sangitaratnakara. I. Introduction Any Art, be it performing, visual or otherwise is basically are set of gyrations; but without the nuances which adheres in the art form. The nuances might not have a definite scientific origin but the fact of; “something catchy or different” which makes the aesthete appreciate a particular piece of work proves the presence of the nuances or certain embellishments. -
Fusion Without Confusion Raga Basics Indian
Fusion Without Confusion Raga Basics Indian Rhythm Basics Solkattu, also known as konnakol is the art of performing percussion syllables vocally. It comes from the Carnatic music tradition of South India and is mostly used in conjunction with instrumental music and dance instruction, although it has been widely adopted throughout the world as a modern composition and performance tool. Similarly, the music of North India has its own system of rhythm vocalization that is based on Bols, which are the vocalization of specific sounds that correspond to specific sounds that are made on the drums of North India, most notably the Tabla drums. Like in the south, the bols are used in musical training, as well as composition and performance. In addition, solkattu sounds are often referred to as bols, and the practice of reciting bols in the north is sometimes referred to as solkattu, so the distinction between the two practices is blurred a bit. The exercises and compositions we will discuss contain bols that are found in both North and South India, however they come from the tradition of the North Indian tabla drums. Furthermore, the theoretical aspect of the compositions is distinctly from the Hindustani, (north Indian) tradition. Hence, for the purpose of this presentation, the use of the term Solkattu refers to the broader, more general practice of Indian rhythmic language. South Indian Percussion Mridangam Dolak Kanjira Gattam North Indian Percussion Tabla Baya (a.k.a. Tabla) Pakhawaj Indian Rhythm Terms Tal (also tala, taal, or taala) – The Indian system of rhythm. Tal literally means "clap". -
MRIDANGA SYLLABUS for MA (CBCS) Effective from 2014-15
BANGALORE UNIVERSITY P.G. DEPARTMENT OF PERFORMING ARTS JNANABHARATHI, BANGALORE-560056 MRIDANGA SYLLABUS FOR M.A (CBCS) Effective from 2014-15 Dr. B.M. Jayashree. Professor of Music Chairperson, BOS (PG) M.A. MRIDANGA Semester scheme syllabus CBCS Scheme of Examination, continuous Evaluation and other Requirements: 1. ELIGIBILITY: A Degree music with Mridanga as one of the optional subject with at least 50% in the concerned optional subject an merit internal among these applicant Of A Graduate with minimum of 50% marks secured in the senior grade examination of Mridanga conducted by secondary education board of Karnataka OR a graduate with a minimum of 50% marks secured in PG Diploma or 2 years diploma or 4 year certificate course in Mridanga conducted either by any recognized Universities of any state out side Karnataka or central institution/Universities Any degree with: a) Any certificate course in Mridanga b) All India Radio/Doordarshan gradation c) Any diploma in Mridanga or five years of learning certificate by any veteran musician d) Entrance test (practical) is compulsory for admission. 2. M.A. Mridanga course consists of four semesters. 3. First semester will have three theory paper (core), three practical papers (core) and one practical paper (soft core). 4. Second semester will have three theory papers (core), three practical papers (core), one is project work/Dissertation practical paper and one is practical paper (soft core) 5. Third semester will have two theory papers (core), three practical papers (core) and one is open Elective Practical paper 6. Fourth semester will have two theory Papers (core) two practical papers (core), one project work and one is Elective paper. -
M.A-Music-Vocal-Syllabus.Pdf
BANGALORE UNIVERSITY NAAC ACCREDITED WITH ‘A’ GRADE P.G. DEPARTMENT OF PERFORMING ARTS JNANABHARATHI, BANGALORE-560056 MUSIC SYLLABUS – M.A KARNATAKA MUSIC VOCAL AND INSTRUMENTAL (VEENA, VIOLIN AND FLUTE) CBCS SYSTEM- 2014 Dr. B.M. Jayashree. Professor of Music Chairperson, BOS (PG) M.A. KARNATAKA MUSIC VOCAL AND INSTRUMENTAL (VEENA, VIOLIN AND FLUTE) Semester scheme syllabus CBCS Scheme of Examination, continuous Evaluation and other Requirements: 1. ELIGIBILITY: A Degree with music vocal/instrumental as one of the optional subject with at least 50% in the concerned optional subject an merit internal among these applicant Of A Graduate with minimum of 50% marks secured in the senior grade examination in music (vocal/instrumental) conducted by secondary education board of Karnataka OR a graduate with a minimum of 50% marks secured in PG Diploma or 2 years diploma or 4 year certificate course in vocal/instrumental music conducted either by any recognized Universities of any state out side Karnataka or central institution/Universities Any degree with: a) Any certificate course in music b) All India Radio/Doordarshan gradation c) Any diploma in music or five years of learning certificate by any veteran musician d) Entrance test (practical) is compulsory for admission. 2. M.A. MUSIC course consists of four semesters. 3. First semester will have three theory paper (core), three practical papers (core) and one practical paper (soft core). 4. Second semester will have three theory papers (core), two practical papers (core), one is project work/Dissertation practical paper and one is practical paper (soft core) 5. Third semester will have two theory papers (core), three practical papers (core) and one is open Elective Practical paper 6. -
Analyzing the Melodic Structure of a Raga-Based Song
Georgian Electronic Scientific Journal: Musicology and Cultural Science 2009 | No.2(4) A Statistical Analysis Of A Raga-Based Song Soubhik Chakraborty1*, Ripunjai Kumar Shukla2, Kolla Krishnapriya3, Loveleen4, Shivee Chauhan5, Mona Kumari6, Sandeep Singh Solanki7 1, 2Department of Applied Mathematics, BIT Mesra, Ranchi-835215, India 3-7Department of Electronics and Communication Engineering, BIT Mesra, Ranchi-835215, India * email: [email protected] Abstract The origins of Indian classical music lie in the cultural and spiritual values of India and go back to the Vedic Age. The art of music was, and still is, regarded as both holy and heavenly giving not only aesthetic pleasure but also inducing a joyful religious discipline. Emotion and devotion are the essential characteristics of Indian music from the aesthetic side. From the technical perspective, we talk about melody and rhythm. A raga, the nucleus of Indian classical music, may be defined as a melodic structure with fixed notes and a set of rules characterizing a certain mood conveyed by performance.. The strength of raga-based songs, although they generally do not quite maintain the raga correctly, in promoting Indian classical music among laymen cannot be thrown away. The present paper analyzes an old and popular playback song based on the raga Bhairavi using a statistical approach, thereby extending our previous work from pure classical music to a semi-classical paradigm. The analysis consists of forming melody groups of notes and measuring the significance of these groups and segments, analysis of lengths of melody groups, comparing melody groups over similarity etc. Finally, the paper raises the question “What % of a raga is contained in a song?” as an open research problem demanding an in-depth statistical investigation. -
A Novel EEG Based Study with Hindustani Classical Music
Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music Sayan Nag, Sayan Biswas, Sourya Sengupta Shankha Sanyal, Archi Banerjee, Ranjan Department of Electrical Engineering Sengupta,Dipak Ghosh Jadavpur University Sir C.V. Raman Centre for Physics and Music Kolkata, India Jadavpur University Kolkata, India Abstract—The term jitter and shimmer has long been used in In India, music (geet) has been a subject of aesthetic and the domain of speech and acoustic signal analysis as a parameter intellectual discourse since the times of Vedas (samaveda). for speaker identification and other prosodic features. In this Rasa was examined critically as an essential part of the theory study, we look forward to use the same parameters in neural domain to identify and categorize emotional cues in different of art by Bharata in Natya Sastra, (200 century BC). The rasa musical clips. For this, we chose two ragas of Hindustani music is considered as a state of enhanced emotional perception which are conventionally known to portray contrast emotions produced by the presence of musical energy. It is perceived as and EEG study was conducted on 5 participants who were made a sentiment, which could be described as an aesthetic to listen to 3 min clip of these two ragas with sufficient resting experience. Although unique, one can distinguish several period in between. The neural jitter and shimmer components flavors according to the emotion that colors it [11]. Several were evaluated for each experimental condition. The results reveal interesting information regarding domain specific arousal emotional flavors are listed, namely erotic love (sringara), of human brain in response to musical stimuli and also regarding pathetic (karuna), devotional (bhakti), comic (hasya), horrific trait characteristics of an individual. -
CARNATIC MUSIC (CODE – 032) CLASS – X (Melodic Instrument) 2020 – 21 Marking Scheme
CARNATIC MUSIC (CODE – 032) CLASS – X (Melodic Instrument) 2020 – 21 Marking Scheme Time - 2 hrs. Max. Marks : 30 Part A Multiple Choice Questions: Attempts any of 15 Question all are of Equal Marks : 1. Raga Abhogi is Janya of a) Karaharapriya 2. 72 Melakarta Scheme has c) 12 Chakras 3. Identify AbhyasaGhanam form the following d) Gitam 4. Idenfity the VarjyaSwaras in Raga SuddoSaveri b) GhanDharam – NishanDham 5. Raga Harikambhoji is a d) Sampoorna Raga 6. Identify popular vidilist from the following b) M. S. Gopala Krishnan 7. Find out the string instrument which has frets d) Veena 8. Raga Mohanam is an d) Audava – Audava Raga 9. Alankaras are set to d) 7 Talas 10 Mela Number of Raga Maya MalawaGoula d) 15 11. Identify the famous flutist d) T R. Mahalingam 12. RupakaTala has AksharaKals b) 6 13. Indentify composer of Navagrehakritis c) MuthuswaniDikshitan 14. Essential angas of kriti are a) Pallavi-Anuppallavi- Charanam b) Pallavi –multifplecharanma c) Pallavi – MukkyiSwaram d) Pallavi – Charanam 15. Raga SuddaDeven is Janya of a) Sankarabharanam 16. Composer of Famous GhanePanchartnaKritis – identify a) Thyagaraja 17. Find out most important accompanying instrument for a vocal concert b) Mridangam 18. A musical form set to different ragas c) Ragamalika 19. Identify dance from of music b) Tillana 20. Raga Sri Ranjani is Janya of a) Karahara Priya 21. Find out the popular Vena artist d) S. Bala Chander Part B Answer any five questions. All questions carry equal marks 5X3 = 15 1. Gitam : Gitam are the simplest musical form. The term “Gita” means song it is melodic extension of raga in which it is composed. -
Sanjay Subrahmanyan……………………………Revathi Subramony & Sanjana Narayanan
Table of Contents From the Publications & Outreach Committee ..................................... Lakshmi Radhakrishnan ............ 1 From the President’s Desk ...................................................................... Balaji Raghothaman .................. 2 Connect with SRUTI ............................................................................................................................ 4 SRUTI at 30 – Some reflections…………………………………. ........... Mani, Dinakar, Uma & Balaji .. 5 A Mellifluous Ode to Devi by Sikkil Gurucharan & Anil Srinivasan… .. Kamakshi Mallikarjun ............. 11 Concert – Sanjay Subrahmanyan……………………………Revathi Subramony & Sanjana Narayanan ..... 14 A Grand Violin Trio Concert ................................................................... Sneha Ramesh Mani ................ 16 What is in a raga’s identity – label or the notes?? ................................... P. Swaminathan ...................... 18 Saayujya by T.M.Krishna & Priyadarsini Govind ................................... Toni Shapiro-Phim .................. 20 And the Oscar goes to …… Kaapi – Bombay Jayashree Concert .......... P. Sivakumar ......................... 24 Saarangi – Harsh Narayan ...................................................................... Allyn Miner ........................... 26 Lec-Dem on Bharat Ratna MS Subbulakshmi by RK Shriramkumar .... Prabhakar Chitrapu ................ 28 Bala Bhavam – Bharatanatyam by Rumya Venkateshwaran ................. Roopa Nayak ......................... 33 Dr. M. Balamurali -
Tillana Raaga: Bageshri; Taala: Aadi; Composer
Tillana Raaga: Bageshri; Taala: Aadi; Composer: Lalgudi G. Jayaraman Aarohana: Sa Ga2 Ma1 Dha2 Ni2 Sa Avarohana: Sa Ni2 Dha2 Ma1 Pa Dha2 Ga2 Ma1 Ga2 Ri2 Sa SaNiDhaMa .MaPaDha | Ga. .Ma | RiRiSa . || DhaNiSaGa .SaGaMa | Dha. MaDha| NiRi Sa . || DhaNiSaMa .GaRiSa |Ri. NiDha | NiRi Sa . || SaRiNiDha .MaPaDha |Ga . Ma . | RiNiSa . || Sa ..Ni .Dha Ma . |Sa..Ma .Ga | RiNiSa . || Sa ..Ni .Dha Ma~~ . |Sa..Ma .Ga | RiNiSa . || Pallavi tom dhru dhru dheem tadara | tadheem dheem ta na || dhim . dhira | na dhira na Dhridhru| (dhirana: DhaMaNi .. dhirana.: DhaMaGa .) tom dhru dhru dheem tadara | tadheem dheem ta na || dhim . dhira | na dhira na Dhridhru|| (dhirana: MaDha NiSa.. dhirana:DhaMa Ga..) tom dhru dhru dheem tadara | tadheem dheem ta na || (ta:DhaNi na:NiGaRi) dhim . dhira | na dhira na Dhridhru|| (dhirana:NiGaSaSaNi. Dhirana:DhaSaNiNiDha .) tom dhru dhru dheem tadara | tadheem dheem ta na || dhim . dhira | na dhira na Dhridhru|| (dhira:GaMaDhaNi na:GaGaRiSa dhira:NiDha na:Ga..) tom dhru dhru dheem tadana | tadheem dheem ta na || dhim.... Anupallavi SaMa .Ga MaNi . Dha| NiGa .Ri | NiDhaSa . || GaRi .Sa NiMa .Pa | Dha Ga..Ma | RiNi Sa . || naadhru daani tomdhru dhim | ^ta- ka-jha | Nuta dhim || … naadhru daani tomdhru dhim | (Naadru:MaGa, daani:DhaMa, tomdhru:NiDha, dhim: Sa) ^ta- ka-jha | Nuta dhim || (NiDha SaNi RiSa) taJha-Nu~ta dhim jhaNu | (tajha:SaSa Nu~ta: NiSaRiSa dhim:Ni; jha~Nu:MaDhaNi. tadhim . na | ta dhim ta || (tadhim:Dha Ga..;nata dhimta: MNiDha Sa.Sa) tanadheem .tatana dheemta tanadheem |(tanadheemta: DhaNi Ri ..Sa tanadheem: NiRiSa. .Sa tanadheem: NiDhaNi . ) .dheem dheemta | tom dhru dheem (dheem: Sa deemta:Ga.Ma tomdhrudeem:Ri..Ri Sa) .dheem dheem dheemta ton-| (dheem:Dha. -
A North Indian Raga Recognition Using Ensemble Classifier
International Journal of Electrical Engineering and Technology (IJEET) Volume 12, Issue 6, June 2021, pp. 251-258, Article ID: IJEET_12_06_024 Available online at https://iaeme.com/Home/issue/IJEET?Volume=12&Issue=6 ISSN Print: 0976-6545 and ISSN Online: 0976-6553 DOI: 10.34218/IJEET.12.6.2021.024 © IAEME Publication Scopus Indexed A NORTH INDIAN RAGA RECOGNITION USING ENSEMBLE CLASSIFIER Anagha A. Bidkar Research Scholar, Department of Electronics and Telecommunication, Vishwakarma Institute of Information Technology, And Pune Institute of Computer Technology, SPPU- Savitribai Phule Pune University, Pune, Maharashtra, India Rajkumar S. Deshpande Department of Electronics and Telecommunication, JSPM’s Imperial College of Engineering, SPPU- Savitribai Phule Pune University, Pune, Maharashtra, India Yogesh H. Dandawate Department of Electronics and Telecommunication, Vishwakarma Institute of Information Technology, SPPU- Savitribai Phule Pune University, Pune, Maharashtra, India ABSTRACT Indian classical music is an ancient art form. Western and Indian music differ in the sequence of musical notes that are present in the melodic segment. Raga recognition in Indian classical music has been an exciting area of music information retrieval system. This can be useful to create a music library, search raga related music, and music education system. Recognition of raga using machine learning algorithms is a very complex task. This paper aims to find a suitable classifier for a dataset of instrumental music of 12 ragas. The music database has audio files of 4 different musical instruments. For this dataset, the ensemble bagged tree classifier outperforms the raga recognition. This approach suits our dataset to gain accuracy of 96.32%. This paper compares the results with the ensemble subspace KNN model which gives an accuracy of 95.83%.