We present here a pipeline for the automated discovery of repeated
motifs in audio. Our approach relies on state-of-the-art source separation, pre-
dominant pitch extraction and time series motif detection via the matrix profile.
Owing to the appropriateness of this approach for the task of motif recognition
in the Carnatic musical style of South India, and with access to the recently re-
leased Saraga Dataset of Indian Art Music, we provide an example application
on a recording of a performance ...
We present here a pipeline for the automated discovery of repeated
motifs in audio. Our approach relies on state-of-the-art source separation, pre-
dominant pitch extraction and time series motif detection via the matrix profile.
Owing to the appropriateness of this approach for the task of motif recognition
in the Carnatic musical style of South India, and with access to the recently re-
leased Saraga Dataset of Indian Art Music, we provide an example application
on a recording of a performance in the Carnatic r ̄aga, R ̄itigaul.a, finding 56 dis-
tinct patterns of varying lengths that occur at least 3 times in the recording. The
authors include a discussion of the potential musicological significance of this
motif finding approach in relation to the particular tradition and beyond.
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