Accurate tempo estimation based on harmonic + noise decomposition

We present an innovative tempo estimation system that processes acoustic audio signals and does not use any high-level musical knowledge. Our proposal relies on a harmonic + noise decomposition of the audio signal by means of a subspace analysis method. Then, a technique to measure the degree of mus...

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Bibliographic Details
Main Authors: Bertrand David, Gael Richard, Miguel Alonso
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2007/82795
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author Bertrand David
Gael Richard
Miguel Alonso
author_facet Bertrand David
Gael Richard
Miguel Alonso
author_sort Bertrand David
collection DOAJ
description We present an innovative tempo estimation system that processes acoustic audio signals and does not use any high-level musical knowledge. Our proposal relies on a harmonic + noise decomposition of the audio signal by means of a subspace analysis method. Then, a technique to measure the degree of musical accentuation as a function of time is developed and separately applied to the harmonic and noise parts of the input signal. This is followed by a periodicity estimation block that calculates the salience of musical accents for a large number of potential periods. Next, a multipath dynamic programming searches among all the potential periodicities for the most consistent prospects through time, and finally the most energetic candidate is selected as tempo. Our proposal is validated using a manually annotated test-base containing 961 music signals from various musical genres. In addition, the performance of the algorithm under different configurations is compared. The robustness of the algorithm when processing signals of degraded quality is also measured.
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spelling doaj.art-a731062a90a746399408b94459905c1f2022-12-22T02:41:16ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-01200710.1155/2007/82795Accurate tempo estimation based on harmonic + noise decompositionBertrand DavidGael RichardMiguel AlonsoWe present an innovative tempo estimation system that processes acoustic audio signals and does not use any high-level musical knowledge. Our proposal relies on a harmonic + noise decomposition of the audio signal by means of a subspace analysis method. Then, a technique to measure the degree of musical accentuation as a function of time is developed and separately applied to the harmonic and noise parts of the input signal. This is followed by a periodicity estimation block that calculates the salience of musical accents for a large number of potential periods. Next, a multipath dynamic programming searches among all the potential periodicities for the most consistent prospects through time, and finally the most energetic candidate is selected as tempo. Our proposal is validated using a manually annotated test-base containing 961 music signals from various musical genres. In addition, the performance of the algorithm under different configurations is compared. The robustness of the algorithm when processing signals of degraded quality is also measured.http://dx.doi.org/10.1155/2007/82795
spellingShingle Bertrand David
Gael Richard
Miguel Alonso
Accurate tempo estimation based on harmonic + noise decomposition
EURASIP Journal on Advances in Signal Processing
title Accurate tempo estimation based on harmonic + noise decomposition
title_full Accurate tempo estimation based on harmonic + noise decomposition
title_fullStr Accurate tempo estimation based on harmonic + noise decomposition
title_full_unstemmed Accurate tempo estimation based on harmonic + noise decomposition
title_short Accurate tempo estimation based on harmonic + noise decomposition
title_sort accurate tempo estimation based on harmonic noise decomposition
url http://dx.doi.org/10.1155/2007/82795
work_keys_str_mv AT bertranddavid accuratetempoestimationbasedonharmonicnoisedecomposition
AT gaelrichard accuratetempoestimationbasedonharmonicnoisedecomposition
AT miguelalonso accuratetempoestimationbasedonharmonicnoisedecomposition