Abstract
Packet loss concealment (PLC) at a receiver has a substantial effect on the speech quality in Voice over IP. Most conventional PLC systems have largely relied upon variations of signal repetition and overlap-add interpolation which can produce speech signals that do not follow the larger overall statistical trends. In this paper, we demonstrate how Hidden Markov Models can be utilized to effect PLC based on statistical signal processing. In particular, we show how HMM-based PLC yields conditional density functions that can be utilized by various statistical estimation methods that produce signal parameter estimates that produce more natural variation than conventional PLC methods, thereby providing much belter speech quality.
| Original language | English (US) |
|---|---|
| Title of host publication | 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings |
| Pages | I21-I24 |
| State | Published - Dec 1 2006 |
| Event | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France Duration: May 14 2006 → May 19 2006 |
Publication series
| Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
|---|---|
| Volume | 1 |
| ISSN (Print) | 1520-6149 |
Other
| Other | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 |
|---|---|
| Country | France |
| City | Toulouse |
| Period | 5/14/06 → 5/19/06 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering
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Cite this
Murthi, M. N., Rødbro, C. A., Andersen, S. V., & Jensen, S. H. (2006). Packet loss concealment with natural variations using HMM. In 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings (pp. I21-I24). [1659947] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 1).