Meter Detection from Audio for Indian Music
نویسندگان
چکیده
The meter of a musical excerpt provides high-level rhythmic information and is crucial to many Music Information Retrieval tasks. We investigate the use of a computationally efficient approach to metrical analysis based on psycho-acoustically motivated decomposition of the audio signal. A twostage comb filter-based approach, originally proposed for double/ triple meter estimation, is extended to a septuple meter (such as 7/8 time-signature) and its performance evaluated on a sizable Indian music database. We find that this system works well for Indian music and the distribution of musical stress/accents across a temporal grid can be utilized to obtain the metrical structure of audio automatically.
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