In North-Indian-Music, tabla is mostly used as percussive accompaniment for vocal-song in polyphonic-composition. Human auditory system uses perceptual grouping of musical-elements and easily filters the tabla component, thereby decoding prominent rhythmic features like, tempo from a polyphonic-composition. For Western music, lots of works had been reported for automated drum analysis of polyphonic-composition. However, in the context of North-Indian-Music the attempts of tāla analysis by separating the tabla-signal from the mixture, had not been successful. tabla is played with two components – right and left. The right-hand component has frequency overlap with voice and other instruments. Tāla analysis of polyphonic-composition, by accurately separating the tabla-signal from the mixture is a baffling task to the researchers, therefore an area of challenge. In this work we propose a novel technique for successfully detecting tāla using left-tabla signal producing meaningful results because the left-table normally doesn’t have frequency overlap with voice and other instruments. Extraction of bayan strokes, superimposing them with other strokes and matching them with the sutras of tala have produced remarkable results in tala detection which can be used for automated tagging during archival of Indian music.

Authors: Susmita Bhaduri and Dipak Ghosh
American Journal of Computer Science and Information Technology (Probable Impact Factor: NA)
DOI: 10.21767/2349-3917.100030
Status :Published
Area : Music Signal analysis