ALPACA: An Algorithmic Pipeline for Automated
Contour Annotation of Carnatic Music:
A Dynamic Programming Framework for Pitch Segmentation and Note Transcription
Name
parthasarathi-spar-meng-eecs-2025-thesis.pdf
Description
Thesis PDF
Size
7.8 MB
Format
Adobe PDF
Checksum (MD5)
fb6f2838c5eebd5a12b717af7aef343d
Author(s)
Parthasarathi, Sruthi
Advisor(s)
Egozy, Eran
Date Issued
September 2025
Publisher
Massachusetts Institute of Technology
Abstract
In 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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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