TEMPO AND BEAT ESTIMATION OF MUSICAL SIGNALS

Miguel Alonso; Bertrand David; Gaël Richard

TEMPO AND BEAT ESTIMATION OF MUSICAL SIGNALS

Miguel Alonso
, Bertrand David
, Gaël Richard

Telecom Paris

Research output: Contribution to conference › Paper › peer-review

Abstract

Tempo estimation is fundamental in automatic music processing and in many multimedia applications. This paper presents an automatic tempo tracking system that processes audio recordings and determines the beats per minute and temporal beat location. The concept of spectral energy flux is defined and leads to an efficient note onset detector. The algorithm involves three stages: a frontend analysis that efficiently extracts onsets, a periodicity detection block and the temporal estimation of beat locations. The performance of the proposed method is evaluated using a large database of 489 excerpts from several musical genres. The global recognition rate is 89.7 %. Results are discussed and compared to other tempo estimation systems.

Original language	English
Publication status	Published - 1 Jan 2004
Event	5th International Symposium on Music Information Retrieval, ISMIR 2004 - Barcelona, Spain Duration: 10 Oct 2004 → 14 Oct 2004

Conference

Conference	5th International Symposium on Music Information Retrieval, ISMIR 2004
Country/Territory	Spain
City	Barcelona
Period	10/10/04 → 14/10/04

Keywords

beat
onset detection
tempo

Cite this

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title = "TEMPO AND BEAT ESTIMATION OF MUSICAL SIGNALS",

abstract = "Tempo estimation is fundamental in automatic music processing and in many multimedia applications. This paper presents an automatic tempo tracking system that processes audio recordings and determines the beats per minute and temporal beat location. The concept of spectral energy flux is defined and leads to an efficient note onset detector. The algorithm involves three stages: a frontend analysis that efficiently extracts onsets, a periodicity detection block and the temporal estimation of beat locations. The performance of the proposed method is evaluated using a large database of 489 excerpts from several musical genres. The global recognition rate is 89.7 \%. Results are discussed and compared to other tempo estimation systems.",

keywords = "beat, onset detection, tempo",

author = "Miguel Alonso and Bertrand David and Ga{\"e}l Richard",

note = "Publisher Copyright: {\textcopyright} 2004 Universitat Pompeu Fabra.; 5th International Symposium on Music Information Retrieval, ISMIR 2004 ; Conference date: 10-10-2004 Through 14-10-2004",

year = "2004",

month = jan,

day = "1",

language = "English",

}

TY - CONF

T1 - TEMPO AND BEAT ESTIMATION OF MUSICAL SIGNALS

AU - Alonso, Miguel

AU - David, Bertrand

AU - Richard, Gaël

PY - 2004/1/1

Y1 - 2004/1/1

N2 - Tempo estimation is fundamental in automatic music processing and in many multimedia applications. This paper presents an automatic tempo tracking system that processes audio recordings and determines the beats per minute and temporal beat location. The concept of spectral energy flux is defined and leads to an efficient note onset detector. The algorithm involves three stages: a frontend analysis that efficiently extracts onsets, a periodicity detection block and the temporal estimation of beat locations. The performance of the proposed method is evaluated using a large database of 489 excerpts from several musical genres. The global recognition rate is 89.7 %. Results are discussed and compared to other tempo estimation systems.

AB - Tempo estimation is fundamental in automatic music processing and in many multimedia applications. This paper presents an automatic tempo tracking system that processes audio recordings and determines the beats per minute and temporal beat location. The concept of spectral energy flux is defined and leads to an efficient note onset detector. The algorithm involves three stages: a frontend analysis that efficiently extracts onsets, a periodicity detection block and the temporal estimation of beat locations. The performance of the proposed method is evaluated using a large database of 489 excerpts from several musical genres. The global recognition rate is 89.7 %. Results are discussed and compared to other tempo estimation systems.

KW - beat

KW - onset detection

KW - tempo

M3 - Paper

AN - SCOPUS:85198311850

T2 - 5th International Symposium on Music Information Retrieval, ISMIR 2004

Y2 - 10 October 2004 through 14 October 2004

ER -

TEMPO AND BEAT ESTIMATION OF MUSICAL SIGNALS

Abstract

Conference

Keywords

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Cite this