Multi-Scale Chroma N-Gram Indexing For Cover Song Identification
IEICE Transactions(2020)
Abstract
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.
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Key words
multi-scale indexing, cover song, music retrieval, n-gram, chromagram
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