Annotation data of the structral segments of alap for a Dhrupad vocal concert dataset, and codes for automatic segmentation. This repository is linked to the following publication:

First Author11, Second Author22, and Third Author31(2020). Structural Segmentation of Alap 
in Dhrupad Vocal Concerts, Transactions  of the International Society for 
Music Information Retrieval, Under Review

The annotations were created manually by one of the authors in consultation with a musician. Trained models are made available to obtain predictions on any test audio. Training scripts are also provided to reproduce the results reported in the paper.

The annotations folder contains annotations for the 20 concert cross-validation and 2 concert test datasets used in the paper.
The codes folder contains the implementations of the feature extraction step and all the boundary detection methods as described in the paper.
More details on the annotation format and running the codes can be found in the respective folders.

The sources for all the audios used in the work are listed in the file Dataset_sources.pdf. Some are available on YouTube, while others are from the CompMusic Dunya ¹ collection and can be obtained through the Dunya API ² using the provided MusicBrainz IDs ³.

¹https://dunya.compmusic.upf.edu/
²https://dunya.compmusic.upf.edu/developers/
³https://musicbrainz.org/doc/MusicBrainz_Identifier