.png){kind=icon}
.png){kind=icon}
Return
Tonic identification in classical music using source-modified group delay functions
.png){kind=icon}
PRE
AI
DOI：10.1080/09298215.2025.2561577.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper proposes group delay-based schemes for automatic tonic identification in Indian and Turkish classical music. Modified group delay functions (MODGD) have been employed for the proposed task. The tonic in Indian art music is the base pitch chosen by a performer in a concert. Tonic in Turkish music is one of the stable pitches of the performance, which serves as the reference throughout the performance. In the proposed work, tonic pitch in Indian art music is estimated by analysing the drone instrument in the non-melodic audio segments (segments with no lead melody line). Two schemes have been introduced for Indian art music. While the first scheme employs melodic pitch as an attribute to identify non-melodic segments, the second relies on audio descriptors. Modified group delay functions computed from the flattened music spectrum of these frames are bin-wise summed to form a summary-MODGD-gram. The location of the peak in the tonic range of summary-MODGD-gram is mapped to the tonic pitch. The experiment is also extended to estimate the tonic in Turkish makam music. The performance is evaluated on the Indian and Turkish classical music datasets, and the results show the potential of MODGD in tonic pitch estimation.
Keywords:
Tonic
group delay
drone
Carnatic
Hindustani
makam
Journal
J
IF:
0.9
Papers:
12
Citations:
0