Sequential Pitch Distributions for Raga Detection

Autor:	Narasinh, Vishwaas, G, Senthil Raja
Rok vydání:	2023
Předmět:	Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing
Zdroj:	AIMC 2023. Retrieved from https://aimc2023.pubpub.org/pub/j9v30p0j
Druh dokumentu:	Working Paper
Popis:	Raga is a fundamental melodic concept in Indian Art Music (IAM). It is characterized by complex patterns. All performances and compositions are based on the raga framework. Raga and tonic detection have been a long-standing research problem in the field of Music Information Retrieval. In this paper, we attempt to detect the raga using a novel feature to extract sequential or temporal information from an audio sample. We call these Sequential Pitch Distributions (SPD), which are distributions taken over pitch values between two given pitch values over time. We also achieve state-of-the-art results on both Hindustani and Carnatic music raga data sets with an accuracy of 99% and 88.13%, respectively. SPD gives a great boost in accuracy over a standard pitch distribution. The main goal of this paper, however, is to present an alternative approach to modeling the temporal aspects of the melody and thereby deducing the raga. Comment: 16 pages, 6 figures, AI Music Creativity
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2308.16421 Zobrazit plný text záznamu View this record from Arxiv