Abstract
Pattern discovery is an essential computational music analysis method for revealing intra-opus repetition and inter-opus recurrence. This chapter applies pattern discovery to a corpus of songs for the bagana, a large lyre played in Ethiopia. An important and unique aspect of this repertoire is that frequent and rare motifs have been explicitly identified and used by a master bagana teacher in Ethiopia. A new theorem for pruning of statistically under-represented patterns from the search space is used within an efficient pattern discovery algorithm. The results of the chapter show that over- and under-represented patterns can be discovered in a corpus of bagana songs, and that the method can reveal with high significance the known bagana motifs of interest.
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Conklin, D., Weisser, S. (2016). Pattern and Antipattern Discovery in Ethiopian Bagana Songs. In: Meredith, D. (eds) Computational Music Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-25931-4_16
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DOI: https://doi.org/10.1007/978-3-319-25931-4_16
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