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- W2100417949 abstract "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." @default.
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- W2100417949 date "2005-10-24" @default.
- W2100417949 modified "2023-10-02" @default.
- W2100417949 title "Extracting Note Onsets from Musical Recordings" @default.
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- W2100417949 doi "https://doi.org/10.1109/icme.2005.1521568" @default.
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