Objective Classification of Hindustani Ragas by Soubhik Chakraborty
Home > Arts & Photography > Music > Theory of music & musicology > Objective Classification of Hindustani Ragas
Objective Classification of Hindustani Ragas

Objective Classification of Hindustani Ragas


     0     
5
4
3
2
1



International Edition


About the Book

Doctoral Thesis / Dissertation from the year 2019 in the subject Musicology - Miscellaneous, grade: NA, language: English, abstract: The aim of the research work presented in this book, is to find important features of the music signal so that we can classify the raga into different category. It will encourage the scientific research in Indian Classical music, specifically Hindustani music. The main objectives of the study include: - Extraction of features of a music signal which are relevant for classification of the music signal using different techniques. - To determine whether the artists singing the raga during a concert belongs to same gharana or different gharanas by finding the MFCC (Mel frequency cepstral co-efficients ) features of a music signal. Andrew plot is used to study the results. - Comparison between two types of ragas, one being aesthetically known to be restful raga and the other restless in nature is done by finding statistical features. Distinction between the two types of raga is done by finding the mean, standard deviation and Inter onset interval. The Transitory and non-transitory frequency movements between the notes of both ragas is determined. - Statistical Modeling of ragas is done to distinguish between Restful ragas and Restless Ragas. Simple Exponential smoothing techniques is used for Modeling the Restless Ragas Pilu and Bhairavi and Double exponential Smoothing techniques is used for Modeling the Restful Raga Todi . - The work is focused on music emotion representation. The characteristics features of music signal such as rhythm, melody, pitch and timbre are studied. Among these which parameter(s) play a major role in creating happy or sad emotion in the song or music samples are studied.
About the Author: Dr. Soubhik Chakraborty, an M.Sc. (Statistics), PhD (Science) and NET (UGC/CSIR) in Mathematical Sciences, is currently serving as the Professor & Head, Department of Mathematics at Birla Institute of Technology, Mesra, Ranchi, India. His research interests are algorithm analysis, music analysis and statistical computing. He has published several books, research monograms and research papers in peer reviewed journals of international and national repute in these areas apart from guiding several research scholars leading to PhD. He is also an acknowledged reviewer associated with ACM, AMS and IEEE. He has been a visiting scientist twice to Indian Statistical Institute (Bangalore Centre in 2002, Kolkata Centre in 2004, the latter under INSA fellowship). He is a leading figure in computational musicology and has written the first book on the topic (in the context of Hindustani music; see ref [1] in relevant publications). He has been the principal investigator of a UGC major research project titled Analyzing the structure and performance of Hindustani classical music through statistics in his institute. He has received several awards in both teaching and research including the National Award for Teaching Excellence (Mathematics) given by Indus Foundation (2013) and the Best Academic Researcher Award 2013 given by Association of Scientists, Developers and Faculties (2013). Prior to joining this institute in 2006 (Nov 30), he served as a lecturer in Statistics at T.M. Bhagalpur university where he taught Statistics at both undergraduate and postgraduate levels for about ten years. Relevant Publications (books): - 1.Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari and Moujhuri Patra, Computational Musicology in Hindustani Music, Springer, 2014 2.Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis, Signal Analysis of Hindustani Classical Music, Springer, 2017 3.Shashi Bhushan Singh, Soubhik Chakraborty, Keashav Mohan Jha, Satish Chandra, Shanti Prakash and Swarima Tewari, Music and Medicine: Healing Brain Injury through Ragas, CBH publications, 2016


Best Sellers



Product Details
  • ISBN-13: 9783668948334
  • Publisher: Bod Third Party Titles
  • Publisher Imprint: Grin Verlag
  • Height: 210 mm
  • No of Pages: 152
  • Spine Width: 9 mm
  • Width: 148 mm
  • ISBN-10: 366894833X
  • Publisher Date: 25 Apr 2019
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 258 gr


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Objective Classification of Hindustani Ragas
Bod Third Party Titles -
Objective Classification of Hindustani Ragas
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Objective Classification of Hindustani Ragas

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals



    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!