Note:
This bibliographic page is archived and will no longer be updated.
For an up-to-date list of publications from the Music Technology Group see the
Publications list
.
Rāga Recognition based on Pitch Distribution Methods
| Title | Rāga Recognition based on Pitch Distribution Methods |
| Publication Type | Journal Article |
| Year of Publication | 2012 |
| Authors | Koduri, G. K. , Gulati S. , Rao P. , & Serra X. |
| Journal Title | Journal of New Music Research |
| Volume | 41 |
| Pages | 337-350 |
| Abstract | Rāga forms the melodic framework for most of the music of the Indian subcontinent. Thus automatic rāga recognition is a fundamental step in the computational modelling of the Indian art-music traditions. In this work, we investigate the properties of rāga and the natural processes by which people identify it. We bring together and discuss the previous computational approaches to rāga recognition correlating them with human techniques, in both Karāaka (south Indian) and Hindustānī (north Indian) music traditions. The approaches which are based on first-order pitch distributions are further evaluated on a large comprehensive dataset to understand their merits and limitations. We outline the possible short and mid-term future directions in this line of work. |
| preprint/postprint document | http://hdl.handle.net/10230/32476 |
| Final publication | https://doi.org/10.1080/09298215.2012.735246 |
