Abstract
In this paper we present first experimental results with a novel audio coding technique based on approximating Hilbert 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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Motlíček, P., Hermansky, H., Garudadri, H., Srinivasamurthy, N. (2006). Speech Coding Based on Spectral Dynamics. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2006. Lecture Notes in Computer Science(), vol 4188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11846406_59
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DOI: https://doi.org/10.1007/11846406_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39090-9
Online ISBN: 978-3-540-39091-6
eBook Packages: Computer ScienceComputer Science (R0)Springer Nature Proceedings Computer Science
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