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2005 IEEE International Conference on Multimedia and Expo
Extracting note onsets from musical recordings
Amsterdam, Netherlands
July 06-July 06
ISBN: 0-7803-9331-7
| ASCII Text | x | ||
| M. Alonso, G. Richard, B. David, "Extracting note onsets from musical recordings," 2012 IEEE International Conference on Multimedia and Expo, pp. 4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005. | |||
| BibTex | x | ||
| @article{ 10.1109/ICME.2005.1521568, author = {M. Alonso and G. Richard and B. David}, title = {Extracting note onsets from musical recordings}, journal ={2012 IEEE International Conference on Multimedia and Expo}, volume = {0}, year = {2005}, isbn = {0-7803-9331-7}, pages = {4 pp.}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2005.1521568}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE International Conference on Multimedia and Expo TI - Extracting note onsets from musical recordings SN - 0-7803-9331-7 SP EP A1 - M. Alonso, A1 - G. Richard, A1 - B. David, PY - 2005 KW - frequency content derivative estimation KW - note onset extraction KW - musical recording database KW - automatic temporal segmentation KW - spectral energy flux VL - 0 JA - 2012 IEEE International Conference on Multimedia and Expo ER - | |||
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.
Index Terms:
frequency content derivative estimation, note onset extraction, musical recording database, automatic temporal segmentation, spectral energy flux
Citation:
M. Alonso, G. Richard, B. David, "Extracting note onsets from musical recordings," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005
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