Digitizing North Indian music: preservation and extension using multimodal sensor systems, machine learning and robotics

Simple item page
dc.contributor.authorKapur, Ajay
dc.contributor.supervisorTzanetakis, George
dc.contributor.supervisorCook, Perry R.
dc.contributor.supervisorSchloss, W. Andrew
dc.contributor.supervisorDriessen, Peter F.
dc.date.accessioned2007-08-24T00:08:41Z
dc.date.available2007-08-24T00:08:41Z
dc.date.copyright2007en_US
dc.date.issued2007-08-24T00:08:41Z
dc.degree.departmentInterdisciplinary Studies
dc.degree.departmentInterdisciplinary Graduate Program
dc.degree.departmentDepartment of Computer Science
dc.degree.departmentDepartment of Electrical and Computer Engineering
dc.degree.departmentSchool of Music
dc.degree.departmentDepartment of Mechanical Engineering
dc.degree.departmentDepartment of Psychology
dc.degree.levelDoctor of Philosophy Ph.D.en_US
dc.description.abstractThis dissertation describes how state of the art computer music technology can be used to digitize, analyze, preserve and extend North Indian classical music performance. Custom built controllers, influenced by the Human Computer Interaction (HCI) community, serve as new interfaces to gather musical gestures from a performing artist. Designs on how to modify a Tabla, Dholak, and Sitar with sensors and electronics are described. Experiments using wearable sensors to capture ancillary gestures of a human performer are also included. A twelve-armed solenoid-based robotic drummer was built to perform on a variety of traditional percussion instruments from around India. The dissertation also describes experimentation on interfacing a human sitar performer with the robotic drummer. Experiments include automatic tempo tracking and accompaniment methods. A framework is described for digitally transcribing performances of masters using custom designed hardware and software to aid in preservation. This work draws on knowledge from many disciplines including: music, computer science, electrical engineering, mechanical engineering and psychology. The goal is to set a paradigm on how to use technology to aid in the preservation of traditional art and culture.en_US
dc.identifier.urihttp://hdl.handle.net/1828/202
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectmusical roboticsen_US
dc.subjectindian musicen_US
dc.subjectmusic technologyen_US
dc.subjectartificial intelligenceen_US
dc.subjectmachine learningen_US
dc.subjectmultimodal sensor systemsen_US
dc.subject.lcshUVic Subject Index::Sciences and Engineering::Applied Sciences::Computer scienceen_US
dc.subject.lcshUVic Subject Index::Humanities and Social Sciences::Communication and the Arts::Musicen_US
dc.subject.lcshUVic Subject Index::Sciences and Engineering::Engineering::Electrical engineeringen_US
dc.subject.lcshUVic Subject Index::Sciences and Engineering::Engineering::Mechanical engineeringen_US
dc.titleDigitizing North Indian music: preservation and extension using multimodal sensor systems, machine learning and roboticsen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Kapur_phD_final.pdf
Size:
11.07 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.18 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Electronic Theses and Dissertations (ETD)
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.