Hybrid Numeric/Rank Similarity Metrics for Musical Performance Analysis
نویسنده
چکیده
This paper describes a numerical method for examining similarities among tempo and loudness features extracted from recordings of the same musical work and evaluates its effectiveness compared to Pearson correlation. Starting with correlation at multiple timescales, other concepts such as a performance “noise-floor” are used to generate measurements which are more refined than correlation alone. The measurements are evaluated and compared to plain correlation in their ability to identify performances of the same Chopin mazurka played by the same pianist out of a collection of recordings by various pianists.
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