Details
| Original language | English |
|---|---|
| Title of host publication | Audio forensics |
| Subtitle of host publication | Recording, Recovery, Analysis, and Interpretation |
| Place of Publication | New York |
| Publisher | Audio Engineering Society |
| Pages | 13-22 |
| Number of pages | 10 |
| ISBN (print) | 9780937803875 |
| Publication status | Published - 2012 |
| Event | 46th International Conference of the Audio Engineering Society, AES 2012 - Denver, United States Duration: 14 Jun 2012 → 16 Jun 2012 |
Publication series
| Name | Proceedings of the AES International Conference |
|---|
Abstract
This paper is concerned with error concealment in digital audio signals. Two model based methods for signal extrapolation are developed and compared. Among these is the usage of adaptive Kalman filtering which can be processed with zero algorithmic delay in real-Time. We also improved an approach which is based on linear prediction by enhancing it with an adaptive parameter usage. The proposed methods, especially the linear prediction approach, perform excellently on maximum gap lengths of about 10 ms. On some monophonic signals the concealment can be extended up to 100 ms without a loss of perceived quality. Both approaches have been compared and evaluated by an informal listening test.
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
- Physics and Astronomy(all)
- Acoustics and Ultrasonics
Cite this
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Audio forensics: Recording, Recovery, Analysis, and Interpretation. New York: Audio Engineering Society, 2012. p. 13-22 (Proceedings of the AES International Conference).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Low delay error concealment for audio signals
AU - Preihs, Stephan
AU - Stöter, Fabian Robert
AU - Ostermann, Jörn
PY - 2012
Y1 - 2012
N2 - This paper is concerned with error concealment in digital audio signals. Two model based methods for signal extrapolation are developed and compared. Among these is the usage of adaptive Kalman filtering which can be processed with zero algorithmic delay in real-Time. We also improved an approach which is based on linear prediction by enhancing it with an adaptive parameter usage. The proposed methods, especially the linear prediction approach, perform excellently on maximum gap lengths of about 10 ms. On some monophonic signals the concealment can be extended up to 100 ms without a loss of perceived quality. Both approaches have been compared and evaluated by an informal listening test.
AB - This paper is concerned with error concealment in digital audio signals. Two model based methods for signal extrapolation are developed and compared. Among these is the usage of adaptive Kalman filtering which can be processed with zero algorithmic delay in real-Time. We also improved an approach which is based on linear prediction by enhancing it with an adaptive parameter usage. The proposed methods, especially the linear prediction approach, perform excellently on maximum gap lengths of about 10 ms. On some monophonic signals the concealment can be extended up to 100 ms without a loss of perceived quality. Both approaches have been compared and evaluated by an informal listening test.
UR - http://www.scopus.com/inward/record.url?scp=84883069661&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84883069661
SN - 9780937803875
T3 - Proceedings of the AES International Conference
SP - 13
EP - 22
BT - Audio forensics
PB - Audio Engineering Society
CY - New York
T2 - 46th International Conference of the Audio Engineering Society, AES 2012
Y2 - 14 June 2012 through 16 June 2012
ER -