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Massachusetts Institute of Technology
ALPACA: An Algorithmic Pipeline for Automated Contour Annotation of Carnatic Music: A Dynamic Programming Framework for Pitch Segmentation and Note Transcription
Abstract
dc:description.abstractIn recent years, a wide range of computational techniques have been developed to extract information from recorded performances of Western music. However, these methods often achieve limited success when applied to non-Western musical traditions. Carnatic music, in particular, poses unique challenges due to the absence of a standardized notation system and the lack of a consistent mapping between frequency bands and note categories. This project introduces a dynamic programming–based transcription framework, incorporating novel methods for label estimation, contour segmentation, and related subtasks, and establishes the foundations for end-to-end automatic transcription of this art form.
Degree
thesis:*- Name thesis:degree_name
- Master
- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2025
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Parthasarathi, Sruthi
- Advisor dc:contributor.advisor
-
- Egozy, Eran
Rights
dc:rights- Statement dc:rights
-
- In Copyright - Educational Use Permitted
- Copyright retained by author(s)
- Licence dc:rights.uri
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/164659
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/164659