A hybrid scheme for encoding audio signal using hidden Markov models of waveforms
Statistics Theory
2013-04-23 v1 Information Theory
math.IT
Statistics Theory
Abstract
This paper reports on recent results related to audiophonic signals encoding using time-scale and time-frequency transform. More precisely, non-linear, structured approximations for tonal and transient components using local cosine and wavelet bases will be described, yielding expansions of audio signals in the form tonal + transient + residual. We describe a general formulation involving hidden Markov models, together with corresponding rate estimates. Estimators for the balance transient/tonal are also discussed.
Keywords
Cite
@article{arxiv.1304.5846,
title = {A hybrid scheme for encoding audio signal using hidden Markov models of waveforms},
author = {Stéphane Molla and Bruno Torrésani},
journal= {arXiv preprint arXiv:1304.5846},
year = {2013}
}