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ICMCS
2005
IEEE

Extracting note onsets from musical recordings

14 years 4 months ago
Extracting note onsets from musical recordings
Automatic temporal segmentation of music signals into note onsets is central for a large number of audio applications. In this paper, we present a variation of a previously existing note onset detection method, based on the so-called spectral energy flux. The proposed algorithm has a lower computational cost and incorporates a more accurate estimation of the frequency content derivative, yielding better results for a wide range of music signals. The performance of the system was validated using a database of musical recordings containing 670 note onsets. This database was hand-labeled and cross validated by three annotators. Comparisons to previous work are also presented along with possible directions of future research.
Miguel Alonso, Gaël Richard, Bertrand David
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICMCS
Authors Miguel Alonso, Gaël Richard, Bertrand David
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