Speech Coding based on Spectral Dynamics
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.
- URL: http://publications.idiap.ch/downloads/papers/2006/motlicek-tsd-2006.pdf
- Related documents: http://publications.idiap.ch/index.php/publications/showcite/motlicek:rr06-05
Record created on 2010-02-11, modified on 2016-08-08