Abstract
This paper presents some techniques for the extraction of transient components from a musical signal. The absence of a unique definition of what a “transient” means for signals that are by essence non-stationary implies that a lot of methods can be used and sometimes lead to significantly different results. We have classified some amongst the most common methods according to the nature of their outputs. Preliminary comparative results suggest that, for sharp percussive transients, the results are roughly independent of the chosen method, but that for slower rising attacks – e.g. for bowed string or wind instruments - the choice of method is critical.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Goodwin, M., Avendano, C.: Enhancment of audio signals using transient detection and modification. In: Proc. AES 117th Conv., San Francisco, CA (2004)
Duxbury, C., Davies, M., Sandler, M.: Separation of transient information in musical audio using multiresolution analysis techniques. In: Proc. Digital Audio Effects (DAFx 2001), Limerick, Ireland (2001)
Verma, T., Levine, S., Meng, T.: Transient modeling synthesis: a flexible analysis/synthesis tool for transient signals. In: Proc. of the International Computer Music Conference, Greece (1997)
Bello, J.P., Daudet, L., Abdallah, S., Duxbury, C., Davies, M., Sandler, M.: A tutorial on onset detection in music signals. IEEE Transactions on Speech and Audio Processing (to appear)
Zölzer, U. (ed.): DAFX - Digital Audio Effects. John Wiley and Sons, Chichester (2002)
Bello, J., Duxbury, C., Davies, M., Sandle, r.M.: On the use of phase and energy for musical onset detection in the complex domain. IEEE Signal Processing Letters 11 (2004)
Rodet, X., Jaillet, F.: Detection and modeling of fast attack transients. In: Proceedings of the International Computer Music Conference, Havana (2001)
McAulay, R., Quatieri, T.: Speech analysis/synthesis based on a sinusoidal representation. IEEE Trans. on Acoust., Speech and Signal Proc. 34, 744–754 (1986)
Serra, X., Smith, J.O.: Spectral modeling synthesis: A sound analysis/synthesis system based on a deterministic plus stochastic decomposition. Computer Music Journal 14, 12–24 (1990)
Thornburg, H., Gouyon, F.: A flexible analysis-synthesis method for transients. In: Proceedings of the International Computer Music Conference, Berlin (2000)
Roy, R., Kailath, T.: ESPRIT - estimation of signal parameters via rotational invariance techniques. IEEE Transactions on Acoustics, Speech and Signal Processing 37, 984–995 (1989)
Moon, T., Stirling, W.: Mathematical Methods and Algorithms for Signal Processing. Prentice-Hall, Englewood Cliffs (2000)
Badeau, R., David, B., Richard, G.: Yet Another Subspace Tracker. In: Proc. International Conf. on Acoustics, Speech, and Signal Processing, pp. 329–332 (2005)
Daudet, L., Torrésani, B.: Hybrid representations for audiophonic signal encoding. Signal Processing, Special issue on Image and Video Coding Beyond Standards 82, 1595–1617 (2002)
Coifman, R., Wickerhauser, M.: Entropy–based algorithms for best basis selection. IEEE Trans. Information Theory 38, 1241–1243 (1992)
Jaillet, F., Torrésani, B.: Time-frequency jigsaw puzzle: Adaptive multiwindow and multilayered gabor expansions. IEEE Transactions on Signal Processing (submitted)
Davis, G.: Adaptive Nonlinear Approximations. PhD thesis, New York University (1994)
Mallat, S., Zhang, Z.: Matching pursuits with time-frequency dictionaries. IEEE Transactions on Signal Processing 41, 3397–3415 (1993)
Daudet, L.: Sparse and structured decompositions of signals with the molecular matching pursuit. IEEE Transactions on Speech and Audio Processing (to appear)
Davies, M., Daudet, L.: Fast sparse subband decomposition using FIRSP. In: Proceedings of the 12th EUropean SIgnal Processing COnference (2004)
Davies, M., Daudet, L.: Sparse audio representations using the MCLT. Signal Processing (to appear)
Molla, S., Torrésani, B.: Determining local transientness of audio signals. IEEE Signal Processing Letters 11 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Daudet, L. (2006). A Review on Techniques for the Extraction of Transients in Musical Signals. In: Kronland-Martinet, R., Voinier, T., Ystad, S. (eds) Computer Music Modeling and Retrieval. CMMR 2005. Lecture Notes in Computer Science, vol 3902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751069_20
Download citation
DOI: https://doi.org/10.1007/11751069_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34027-0
Online ISBN: 978-3-540-34028-7
eBook Packages: Computer ScienceComputer Science (R0)