MusicSarreV3, PascalFrancis, Curation, bibRecord, 000010

A Robust Fitness Measure for Capturing Repetitions in Music Recordings With Applications to Audio Thumbnailing

Identifieur interne : 000010 ( PascalFrancis/Curation ); précédent : 000009; suivant : 000011

A Robust Fitness Measure for Capturing Repetitions in Music Recordings With Applications to Audio Thumbnailing

Auteurs : Meinard Müller [Allemagne] ; NANZHU JIANG [Allemagne] ; Peter Grosche [Allemagne]

Source :

IEEE transactions on audio, speech, and language processing [ 1558-7916 ] ; 2013.

RBID : Pascal:13-0149238

Descripteurs français

Pascal (Inist)
- Reconnaissance automatique, Extraction caractéristique, Extraction information, Analyse son, Analyse structurale, Structure périodique, Optimisation, Acoustique musicale, Robustesse, Traitement signal.

English descriptors

KwdEn :
- Automatic recognition, Feature extraction, Information extraction, Musical acoustics, Optimization, Periodic structure, Robustness, Signal processing, Sound analysis, Structural analysis.

Abstract

The automatic extraction of structural information from music recordings constitutes a central research topic. In this paper, we deal with a subproblem of audio structure analysis called audio thumbnailing with the goal to determine the audio segment that best represents a given music recording. Typically, such a segment has many (approximate) repetitions covering large parts of the recording. As the main technical contribution, we introduce a novel fitness measure that assigns a fitness value to each segment that expresses how much and how well the segment "explains" the repetitive structure of the entire recording. The thumbnail is then defined to be the fitness-maximizing segment. To compute the fitness measure, we describe an optimization scheme that jointly performs two error-prone steps, path extraction and grouping, which are usually performed successively. As a result, our approach is even able to cope with strong musical and acoustic variations that may occur within and across related segments. As a further contribution, we introduce the concept of fitness scape plots that reveal global structural properties of an entire recording. Finally, to show the robustness and practicability of our thumbnailing approach, we present various experiments based on different audio collections that comprise popular music, classical music, and folk song field recordings.

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A08	`01`	`1`	`ENG`	`@1 A Robust Fitness Measure for Capturing Repetitions in Music Recordings With Applications to Audio Thumbnailing`
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A Robust Fitness Measure for Capturing Repetitions in Music Recordings With Applications to Audio Thumbnailing

A Robust Fitness Measure for Capturing Repetitions in Music Recordings With Applications to Audio Thumbnailing

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Descripteurs français

English descriptors

Abstract

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