Analyzing a Raga based Bollywood song: A statistical approach

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作者

Lopamudra Dutta¹ , Soubhik Chakraborty¹

1. Birla Institute of Technology, Mesra

会议/活动

2nd Congress on Intelligent Systems—CIS 2021, September 2021 (虚拟会议)

海报摘要

Indian classical music is a cherished part of our national heritage, and Bollywood music plays a significant role in promoting it among the general public. Since music creates patterns that can be statistically analyzed, there is motivation to perform a statistical analysis on a recording of a particular raga-based Bollywood song Aaoge Jab Tum. This analysis would compare the song's characteristics with those of the corresponding raga, such as studying where the song follows the raga rules and where it deviates. Additionally, the study would investigate whether the song's musical notes follow a Multinomial or Quasi Multinomial distribution, whether the melody length is uniformly distributed over the song's lines, and the rhythm through IOI (inter onset interval) graph, and note duration, among other things. The statistical parameterization approach, along with Andrews's plot, would be used to investigate the variation in melody and rhythm throughout the song at different intervals.

关键词

Raga, Melody, Rhythm, Andrews plot, Statistical parameterization, Multinomial distribution

研究领域

Arts, Statistics

参考文献

1. Lopamudra Dutta and Soubhik Chakraborty, Analyzing a Raga-Based Bollywood Song: A Statistical Approach, in M. Saraswat et al. (eds), Congress on Intelligent Systems, Lecture Notes on Data Engineering and Communications Technologies 114, Springer Nature Pte Ltd, 2022, 217-230, https://doi.org/10.1007/978-981-16-9416-5_16

基金

1. This research did not receive any funding (No. Not Applicable)

补充材料

1. Manuscript   Download

附加信息

利益冲突

No competing interests were disclosed.

数据可用性声明

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

知识共享许可协议

Copyright © 2023 Dutta et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.