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Multi-Scale Chroma n-Gram Indexing for Cover Song Identification
Jin S. SEO
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2020/01/01
Online ISSN: 1745-1361
Type of Manuscript: Special Section LETTER (Special Section on Enriched Multimedia — Application of Multimedia Technology and Its Security —)
multi-scale indexing, cover song, music retrieval, n-gram, chromagram,
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To enhance cover song identification accuracy on a large-size music archive, a song-level feature summarization method is proposed by using multi-scale representation. The chroma n-grams are extracted in multiple scales to cope with both global and local tempo changes. We derive index from the extracted n-grams by clustering to reduce storage and computation for DB search. Experiments on the widely used music datasets confirmed that the proposed method achieves the state-of-the-art accuracy while reducing cost for cover song search.