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Hybrid representations for audiophonic signal encoding ...
https://www.sciencedirect.com/science/article/pii/S0165168402003043#:~:text=A%20hybrid%20representation%20for%20audio%20signals%20should%20allow,modifications%2C%20such%20as%20pitch%20transposition%20or%20speed%20modification.
Hybrid representations for audiophonic signal encoding ...
https://www.sciencedirect.com/science/article/pii/S0165168402003043
A hybrid representation for audio signals should allow one to implement different masking algorithms on different components, and therefore improve coding schemes significantly. Other examples of transform domain processing include several types of signal modifications, such as pitch transposition or speed modification.
Hybrid Representations for Audiophonic Signal Encoding
https://www.academia.edu/312159/Hybrid_Representations_for_Audiophonic_Signal_Encoding
Hybrid Representations for Audiophonic Signal Encoding. Download. Related Papers. A hybrid scheme for encoding audio signal using hidden Markov models of waveforms. By Bruno Torresani. TOWARDS A HYBRID AUDIO CODER. By Bruno Torresani. Random Models for Sparse Signals Expansion on Unions of Bases With Application to Audio Signals.
Hybrid representations for audiophonic signal encoding ...
https://www.researchgate.net/publication/220226978_Hybrid_representations_for_audiophonic_signal_encoding
Request PDF | Hybrid representations for audiophonic signal encoding | In this paper, we discuss a new approach for signal models in the context of audio signal encoding. The method is …
CiteSeerX — Hybrid representations for audiophonic …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.107.7122
Abstract. We discuss in this paper a new approach for signal models in the context of audio signal encoding. The method is based upon hybrid models featuring transient, tonal and stochastic compo-nents in the signal. Contrary to several existing approaches, our method does not rely on any prior segmentation of the signal.
Hybrid Representations of Audiophonic Signals | SpringerLink
https://link.springer.com/chapter/10.1007/3-540-45333-4_2
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.
Hybrid representations for audiophonic signal encoding
https://core.ac.uk/download/pdf/52427095.pdf
Hybrid representations for audiophonic signal encoding Laurent Daudet, B. Torr esani To cite this version: Laurent Daudet, B. Torr esani. Hybrid representations for audiophonic signal encoding. Signal Processing, Elsevier, 2002, Image and Video Coding beyond Standards, 82 (11), pp.1595-1617. <10.1016/S0165-1684(02)00304-3>. <hal-01300317>
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