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Author Martin, Benjamin ♦ Hanna, Pierre ♦ Robine, Matthias ♦ Ferraro, Pascal
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Audio Feature ♦ Music Piece ♦ Major Repetition ♦ Harmonic Pitch Class Profile ♦ Segment Audio Piece ♦ Audio Piece ♦ New Iterative Inference Algorithm ♦ Harmonic Content ♦ Temporal Change ♦ Musical Content ♦ Alignment Algorithm ♦ Approximate Repetition ♦ Structural Part ♦ Local Transposition ♦ Optimal Transposition Index
Abstract We focus on the harmonic content of music pieces, considering Harmonic Pitch Class Profiles as audio features to segment audio pieces. The features are compared using Optimal Transposition Index and correlation adapted measures, ensuring robustness to timbre variations or detuning issues. No other audio feature is used for describing audio pieces. The identification of approximate repetitions is handled by string matching techniques applied to musical content. We define a new iterative inference algorithm detecting major repetitions, based on several existing string alignment algorithms. The techniques employed ensure robustness to temporal changes or local transpositions between structural parts. 1. AUDIO FEATURES
Description This content is published in/by Labri Université De Bordeaux
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study