Autoregressive Model-based Speech Packet-Loss Concealment
2008 (English)In: 2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, 2008, 4797-4800 p.Conference paper (Refereed)
We study packet-loss concealment for speech based on autoregressivemodelling using a rigorous minimum mean square error (MMSE) approach.The effect of the model estimation error on predicting the missing segment isstudied and an upper bound on the mean square error is derived. Our exper-iments show that the upper bound is tight when the estimation error is lessthan the signal variance. We also consider the usage of perceptual weightingon prediction to improve speech quality. A rigorous argument is presentedto show that perceptual weighting is not useful in this context. We createsimple and practical MMSE-based systems using two signal models: a basicmodel capturing the short-term correlation and a more sophisticated modelthat also captures the long-term correlation. Subjective quality comparisontests show that the proposed MMSE-based system provides state-of-the-artperformance.
Place, publisher, year, edition, pages
2008. 4797-4800 p.
, International Conference on Acoustics Speech and Signal Processing (ICASSP), ISSN 1520-6149
IdentifiersURN: urn:nbn:se:kth:diva-24219DOI: 10.1109/ICASSP.2008.4518730ISI: 000257456703183ScopusID: 2-s2.0-51449119893OAI: oai:DiVA.org:kth-24219DiVA: diva2:345501
33rd IEEE International Conference on Acoustics, Speech and Signal Processing Las Vegas, NV, MAR 30-APR 04, 2008