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- W4313387553 abstract "This chapter focuses on identification of duplicate audio material in large digital music archives. The music information retrieval (MIR) problem to efficiently find duplicate in large collections is a solved problem. There are even off-the-shelf systems available to find duplicates. The applications of this technology, however, are still too unknown and underexploited. This chapter describes duplicate detection and its many applications which include meta-data quality verification, improving listening experiences, reuse of meta-data, informed noise cancellation, optimising storage space and linking and merging archives. The applications of duplicate detection are illustrated with two case studies. The main contribution of this chapter is to highlight practical uses of duplicate detection. A secondary contributions are the findings detailed in the case studies. A third contribution is an evaluation of an updated fingerprinting system." @default.
- W4313387553 created "2023-01-06" @default.
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- W4313387553 date "2022-09-23" @default.
- W4313387553 modified "2023-09-25" @default.
- W4313387553 title "Duplicate Detection for for Digital Audio Archive Management: Two Case Studies" @default.
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- W4313387553 doi "https://doi.org/10.1007/978-3-031-18444-4_16" @default.
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