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Chroma binary similarity and local alignment applied to cover song identification
Serrà Julià, Joan; Gómez Gutiérrez, Emilia; Herrera Boyer, Perfecto; Serra, Xavier
We present a new technique for audio signal comparison based on tonal subsequence alignment and its application to detect cover versions (i.e., different performances of the same underlying musical piece). Cover song identification is a task whose popularity has increased in the Music Information Retrieval (MIR) community along in the past, as it provides a direct and objective way to evaluate music similarity algorithms.This article first presents a series of experiments carried outwith two state-of-the-art methods for cover song identification.We have studied several components of these (such as chroma resolution and similarity, transposition, beat tracking or Dynamic Time Warping constraints), in order to discover which characteristics would be desirable for a competitive cover song identifier. After analyzing many cross-validated results, the importance of these characteristics is discussed, and the best-performing ones are finally applied to the newly proposed method. Multipleevaluations of this one confirm a large increase in identificationaccuracy when comparing it with alternative state-of-the-artapproaches.
Tonalitat (Música)
So -- Enregistrament i reproducció -- Tècniques digitals
Acoustic signal analysis
Dynamic programming
Information retrieval
Multidimensional sequences
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Institute of Electrical and Electronics Engineers (IEEE)

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