In this paper we present first experimental results with a novel audio coding technique based on approximating Hubert envelopes of relatively long segments of audio signal in critical-band-sized sub-bands by autoregressive model. We exploit the generalized autocorrelation linear predictive technique that allows for a better control of fitting the peaks and troughs of the envelope in the sub-band. Despite introducing longer algorithmic delay, improved coding efficiency is achieved. Since the described technique does not directly model short-term spectral envelopes of the signal, it is suitable not only for coding speech but also for coding of other audio signals. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Motlíek, P., Hermansky, H., Garudadri, H., & Srinivasamurthy, N. (2006). Speech coding based on spectral dynamics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4188 LNCS, pp. 471–478). Springer Verlag. https://doi.org/10.1007/11846406_59
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