MusicSarreV3, PascalFrancis, Corpus, bibRecord, 000007

Extracting Predominant Local Pulse Information From Music Recordings

Identifieur interne : 000007 ( PascalFrancis/Corpus ); précédent : 000006; suivant : 000008

Extracting Predominant Local Pulse Information From Music Recordings

Auteurs : Peter Grosche ; Meinard Miiller

Source :

IEEE transactions on audio, speech, and language processing [ 1558-7916 ] ; 2011.

RBID : Pascal:11-0363501

Descripteurs français

Pascal (Inist)
- Rythme, Temps établissement, Variation temporelle, Méthode noyau, Prédiction linéaire, Immunité bruit, Poursuite cible, Son musical, Traitement signal audio, Traitement signal, Traitement signal acoustique.

English descriptors

KwdEn :
- Acoustic signal processing, Audio signal processing, Kernel method, Linear prediction, Musical sound, Noise immunity, Onset time, Rhythm, Signal processing, Target tracking, Time variation.

Abstract

The extraction of tempo and beat information from music recordings constitutes a challenging task in particular for non-percussive music with soft note onsets and time-varying tempo. In this paper, we introduce a novel mid-level representation that captures musically meaningful local pulse information even for the case of complex music. Our main idea is to derive for each time position a sinusoidal kernel that best explains the local periodic nature of a previously extracted note onset representation. Then we employ an overlap-add technique accumulating all these kernels over time to obtain a single function that reveals the predominant local pulse (PLP). Our concept introduces a high degree of robustness to noise and distortions resulting from weak and blurry onsets. Furthermore, the resulting PLP curve reveals the local pulse information even in the presence of continuous tempo changes and indicates a kind of confidence in the periodicity estimation. As further contribution, we show how our PLP concept can be used as a flexible tool for enhancing tempo estimation and beat tracking. The practical relevance of our approach is demonstrated by extensive experiments based on music recordings of various genres.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A03		`1`		`@0 IEEE trans. audio speech lang. process.`
A05				`@2 19`
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A08	`01`	`1`	`ENG`	`@1 Extracting Predominant Local Pulse Information From Music Recordings`
A11	`01`	`1`		`@1 GROSCHE (Peter)`
A11	`02`	`1`		`@1 MIILLER (Meinard)`
A14	`01`			`@1 Saarland University and the Max-Planck Institut fur Informatik @2 66123 Saarbrücken @3 DEU @Z 1 aut. @Z 2 aut.`
A20				`@1 1688-1701`
A21				`@1 2011`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 26266 @5 354000191110700190`
A44				`@0 0000 @1 © 2011 INIST-CNRS. All rights reserved.`
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A47	`01`	`1`		`@0 11-0363501`
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C01	`01`		`ENG`	@0 The extraction of tempo and beat information from music recordings constitutes a challenging task in particular for non-percussive music with soft note onsets and time-varying tempo. In this paper, we introduce a novel mid-level representation that captures musically meaningful local pulse information even for the case of complex music. Our main idea is to derive for each time position a sinusoidal kernel that best explains the local periodic nature of a previously extracted note onset representation. Then we employ an overlap-add technique accumulating all these kernels over time to obtain a single function that reveals the predominant local pulse (PLP). Our concept introduces a high degree of robustness to noise and distortions resulting from weak and blurry onsets. Furthermore, the resulting PLP curve reveals the local pulse information even in the presence of continuous tempo changes and indicates a kind of confidence in the periodicity estimation. As further contribution, we show how our PLP concept can be used as a flexible tool for enhancing tempo estimation and beat tracking. The practical relevance of our approach is demonstrated by extensive experiments based on music recordings of various genres.
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C03	`02`	`X`	`ENG`	`@0 Onset time @5 02`
C03	`02`	`X`	`SPA`	`@0 Tiempo establecimiento @5 02`
C03	`03`	`X`	`FRE`	`@0 Variation temporelle @5 03`
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C03	`03`	`X`	`SPA`	`@0 Variación temporal @5 03`
C03	`04`	`X`	`FRE`	`@0 Méthode noyau @5 04`
C03	`04`	`X`	`ENG`	`@0 Kernel method @5 04`
C03	`04`	`X`	`SPA`	`@0 Método núcleo @5 04`
C03	`05`	`X`	`FRE`	`@0 Prédiction linéaire @5 05`
C03	`05`	`X`	`ENG`	`@0 Linear prediction @5 05`
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C03	`10`	`X`	`ENG`	`@0 Signal processing @5 10`
C03	`10`	`X`	`SPA`	`@0 Procesamiento señal @5 10`
C03	`11`	`3`	`FRE`	`@0 Traitement signal acoustique @5 46`
C03	`11`	`3`	`ENG`	`@0 Acoustic signal processing @5 46`
N21				`@1 249`
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Format Inist (serveur)

NO :	PASCAL 11-0363501 INIST
ET :	Extracting Predominant Local Pulse Information From Music Recordings
AU :	GROSCHE (Peter); MIILLER (Meinard)
AF :	Saarland University and the Max-Planck Institut fur Informatik/66123 Saarbrücken/Allemagne (1 aut., 2 aut.)
DT :	Publication en série; Niveau analytique
SO :	IEEE transactions on audio, speech, and language processing; ISSN 1558-7916; Etats-Unis; Da. 2011; Vol. 19; No. 6; Pp. 1688-1701; Bibl. 45 ref.
LA :	Anglais
EA :	The extraction of tempo and beat information from music recordings constitutes a challenging task in particular for non-percussive music with soft note onsets and time-varying tempo. In this paper, we introduce a novel mid-level representation that captures musically meaningful local pulse information even for the case of complex music. Our main idea is to derive for each time position a sinusoidal kernel that best explains the local periodic nature of a previously extracted note onset representation. Then we employ an overlap-add technique accumulating all these kernels over time to obtain a single function that reveals the predominant local pulse (PLP). Our concept introduces a high degree of robustness to noise and distortions resulting from weak and blurry onsets. Furthermore, the resulting PLP curve reveals the local pulse information even in the presence of continuous tempo changes and indicates a kind of confidence in the periodicity estimation. As further contribution, we show how our PLP concept can be used as a flexible tool for enhancing tempo estimation and beat tracking. The practical relevance of our approach is demonstrated by extensive experiments based on music recordings of various genres.
CC :	001D04A05D; 001D04A04A2
FD :	Rythme; Temps établissement; Variation temporelle; Méthode noyau; Prédiction linéaire; Immunité bruit; Poursuite cible; Son musical; Traitement signal audio; Traitement signal; Traitement signal acoustique
ED :	Rhythm; Onset time; Time variation; Kernel method; Linear prediction; Noise immunity; Target tracking; Musical sound; Audio signal processing; Signal processing; Acoustic signal processing
SD :	Ritmo; Tiempo establecimiento; Variación temporal; Método núcleo; Predicción lineal; Inmunidad ruido; Sonido musical; Procesamiento señal
LO :	INIST-26266.354000191110700190
ID :	11-0363501

Links to Exploration step

Pascal:11-0363501

Le document en format XML

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<front><div type="abstract" xml:lang="en">The extraction of tempo and beat information from music recordings constitutes a challenging task in particular for non-percussive music with soft note onsets and time-varying tempo. In this paper, we introduce a novel mid-level representation that captures musically meaningful local pulse information even for the case of complex music. Our main idea is to derive for each time position a sinusoidal kernel that best explains the local periodic nature of a previously extracted note onset representation. Then we employ an overlap-add technique accumulating all these kernels over time to obtain a single function that reveals the predominant local pulse (PLP). Our concept introduces a high degree of robustness to noise and distortions resulting from weak and blurry onsets. Furthermore, the resulting PLP curve reveals the local pulse information even in the presence of continuous tempo changes and indicates a kind of confidence in the periodicity estimation. As further contribution, we show how our PLP concept can be used as a flexible tool for enhancing tempo estimation and beat tracking. The practical relevance of our approach is demonstrated by extensive experiments based on music recordings of various genres.</div>
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<ET>Extracting Predominant Local Pulse Information From Music Recordings</ET>
<AU>GROSCHE (Peter); MIILLER (Meinard)</AU>
<AF>Saarland University and the Max-Planck Institut fur Informatik/66123 Saarbrücken/Allemagne (1 aut., 2 aut.)</AF>
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<EA>The extraction of tempo and beat information from music recordings constitutes a challenging task in particular for non-percussive music with soft note onsets and time-varying tempo. In this paper, we introduce a novel mid-level representation that captures musically meaningful local pulse information even for the case of complex music. Our main idea is to derive for each time position a sinusoidal kernel that best explains the local periodic nature of a previously extracted note onset representation. Then we employ an overlap-add technique accumulating all these kernels over time to obtain a single function that reveals the predominant local pulse (PLP). Our concept introduces a high degree of robustness to noise and distortions resulting from weak and blurry onsets. Furthermore, the resulting PLP curve reveals the local pulse information even in the presence of continuous tempo changes and indicates a kind of confidence in the periodicity estimation. As further contribution, we show how our PLP concept can be used as a flexible tool for enhancing tempo estimation and beat tracking. The practical relevance of our approach is demonstrated by extensive experiments based on music recordings of various genres.</EA>
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Extracting Predominant Local Pulse Information From Music Recordings

Extracting Predominant Local Pulse Information From Music Recordings

Source :

Descripteurs français

English descriptors

Abstract

Notice en format standard (ISO 2709)

Format Inist (serveur)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri