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.


Presented at:
Ninth International Conference on TEXT, SPEECH and DIALOGUE (TSD)
Year:
2006
Note:
IDIAP-RR 06-05
Laboratories:




 Record created 2010-02-11, last modified 2018-03-17

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