Abstract
A new approach for modeling audio signal will be presented, in view of efficient encoding. The method is based upon hybrid models featuring transient, tonal and stochastic components in the signal. The three components are estimated and encoded independently using a strategy very much in the spirit of transform coding. The signal models involve nonlinear expansions on local trigonometric bases, and binary trees of wavelet coefficients. Unlike several existing approaches, the method does not rely on any prior segmentation of the signal. The talk is based on joint works with L. Daudet and S. Molla.
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© 2001 Springer-Verlag Berlin Heidelberg
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Torresani, B. (2001). Hybrid Representations of Audiophonic Signals. In: Tang, Y.Y., Yuen, P.C., Li, Ch., Wickerhauser, V. (eds) Wavelet Analysis and Its Applications. WAA 2001. Lecture Notes in Computer Science, vol 2251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45333-4_2
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DOI: https://doi.org/10.1007/3-540-45333-4_2
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