Indian Art Music Melodic Similarity Dataset

Introduction

This dataset comprises audio excerpts and manually done annotations of the melodic phrases in Carnatic and Hindustani music. This dataset can be used to develop and evaluate approaches for computing melodic similarity between short-time melodic patterns in Indian art music. This dataset is divided into two parts, one for Carnatic music (CMD), and the other for Hindustani music (HMD). For more information about the dataset we refer to Chapter 3 of this thesis. 

 Dataset 

There are two versions of the dataset available:

Original version

These two datasets, CMD and HMD are compiled originally by the authors of [3] and [4], respectively. Though, they have evolved over time and have been recompiled along with the extracted audio features. The details of these datasets is given below:

(click to enlarge)

The dataset (annotations) are version controlled, and can be accessed from here (CMD, HMD).

Please cite the following publication if you use the material shared here in your research work.

[1]. Gulati, S., Serrà, J., & Serra, X. (2015). An evaluation of methodologies for melodic similarity in audio recordings of Indian art music. In Proceedings of the 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 678–682. Brisbane, Australia.

[Postprint PDF@MTG] [Bibtex] [Resources]

 

Improved version

It was found that several instances of melodic phrases were not marked in the annotations. The missing phrases have been added in the improved version of the dataset, the details of which is given below:

(click to enlarge)

The dataset (annotations) are version controlled, and can be accessed from here (CMD, HMD).

Please cite the following publication if you use the material shared here in your research work.

[2]. Gulati, S., Serrà, J., & Serra, X. (2015). Improving melodic similarity in Indian art music using culture-specific melodic characteristics. In Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR), pp. 680–686. Málaga, Spain.

[Postprint PDF@MTG] [Bibtex] [Resources]

 

The features (pitch and tonic values) for each audio excerpts are also shared and can be obtained from here (CMD, HMD). To know how the features are extracted visit the companion page for the publication.

The audio files corresponding to these datsets are made available on request for only research purposes. To obtain the files fill this FORM.

 

Annotation Format 

Annotation file contains tab separated values with format as:

<start_time><tab><end_time><tab><id of the melodic phrase>

 

References

1. Gulati, S., Serrà, J., & Serra, X. (2015). An evaluation of methodologies for melodic similarity in audio recordings of Indian art music. In Proceedings of the 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 678–682. Brisbane, Australia.
2. Gulati, S., Serrà, J., & Serra, X. (2015). Improving melodic similarity in Indian art music using culture-specific melodic characteristics. In Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR), pp. 680–686. Málaga, Spain.
3. Ishwar, V., Dutta, S., Bellur, A., & Murthy, H. (2013). Motif spotting in an Alapana in Carnatic music. In Proc. of Int. Conf. on Music Information Retrieval (ISMIR), pp. 499–504.
4. Ross, J. C., Vinutha, T. P., & Rao, P. (2012). Detecting melodic motifs from audio for Hindustani classical music. In Proc. of Int. Conf. on Music Information Retrieval (ISMIR), pp. 193–198.

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