A Novel Approach to Detect Note Onset Using Musical Wavelet

Wen Ming Gui; Yu Feng Chen; Rui Fan Liu

doi:10.4028/www.scientific.net/AMM.651-653.2094

Paper Titles

Using MATLAB to Establish the Physical Simulation of the Milling Force and Surface Roughness
p.2075

Recovery of 3D Non-Rigid Structure from Images Based on Trajectories
p.2081

3D Model Retrieval Based on Wavelet Transform
p.2086

A New Denoising Method via Empirical Mode Decomposition
p.2090

A Novel Approach to Detect Note Onset Using Musical Wavelet
p.2094

A Perturbed Algorithm for Completely Generalized Set-Valued Nonlinear Quasi-Variational Inclusions
p.2099

A Preliminary Discussion of Division Algorithm on Digital Matrix
p.2103

Alternating Direction Method of Solving Nonlinear Programming with Inequality Constrained
p.2107

An Application to Academic Rankings of New Evaluation Algorithm
p.2112

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 651-653A Novel Approach to Detect Note Onset Using...

A Novel Approach to Detect Note Onset Using Musical Wavelet

Abstract:

In this paper, a novel approach to detect note onset was proposed. At the signal transform stage of the note onset detection, a new musical signal decomposition method based on musical wavelet was bring forward according to the frequency structure of the musical note. At the feature extraction stage, the partial flux feature was proposed in light of the point that some of the partials must change at the time of the onsets. The experimental results indicted that the proposed approach was theoretically feasible and practically effective.

You might also be interested in these eBooks

Material Science, Civil Engineering and Architecture Science, Mechanical Engineering and Manufacturing Technology II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 651-653)

Pages:

2094-2098

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.651-653.2094

Citation:

Cite this paper

Online since:

September 2014

Authors:

Wen Ming Gui*, Yu Feng Chen, Rui Fan Liu

Keywords:

Music Information Retrieval, Musical Wavelets, Note Onset Detection, Partial Flux Feature, Spectral Flux Feature

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] M. Goto and Y. Muraoka in: Working Notes of the IJCAI-95 Workshop on Computational Auditory Scene Analysis(1995), pp.68-75.

Google Scholar

[2] C. Duxbury in: DAFx02, 5th International Conference on Digital Audio Effects, 26-28 Sept. 2002, Hamburg, Germany(2002), pp.33-8.

Google Scholar

[3] J. P. Bello and M. Sandler in: Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on(2003), pp.441-444.

DOI: 10.1109/icassp.2003.1202277

Google Scholar

[4] L. Daudet in: Proc. Int. Computer Music Conf. (ICMC'01)(2001), pp.18-21.

Google Scholar

[5] E. Benetos and Y. Stylianou: Audio, Speech, and Language Processing, IEEE Transactions on, vol. 18(2010), p.1968-(1977).

DOI: 10.1109/tasl.2010.2040785

Google Scholar

[6] A. Lacoste and D. Eck: Eurasip Journal on Advances in Signal Processing(2007).

Google Scholar

[7] N. Degara : Selected Topics in Signal Processing, IEEE Journal of, vol. 5(2011), pp.1228-1239.

Google Scholar

[8] S. Bock in: 15th International Conference on Digital Audio Effects, DAFx 2012, York, United kingdom(2012).

Google Scholar

[9] J. P. Bello: Speech and Audio Processing, IEEE Transactions on, vol. 13(2005), pp.1035-1047.

Google Scholar

[10] D. E. Newland: Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences, vol. 443(1993), pp.203-225.

Google Scholar

[11] D. E. Newland: Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences, vol. 444(1994), pp.605-620.

Google Scholar

[12] G. Wenming: Computer Engineering and Applications, in Chinese, vol. 47 (24)(2011), pp.9-11.

Google Scholar

[13] pertusa. (2010). http: /grfia. dlsi. ua. es/cm/worklines/pertusa/onset/ODB.

Google Scholar