Online Steepest Descent Optimization of Muting Technique Parameters in ITU-T G.722 Frame Erasure Concealment
- Title
- Online Steepest Descent Optimization of Muting Technique Parameters in ITU-T G.722 Frame Erasure Concealment
- Author
- 장준혁
- Keywords
- PACKET LOSS CONCEALMENT; RECOVERY TECHNIQUES; SPEECH QUALITY; PREDICTION; VOICE
- Issue Date
- 2019-03
- Publisher
- S HIRZEL VERLAG
- Citation
- ACTA ACUSTICA UNITED WITH ACUSTICA, v. 105, NO 2, Page. 343-349
- Abstract
- In this paper, we propose an enhanced adaptive muting algorithm using a logistic function based on the steepest descent optimization criterion for frame erasure concealment in ITU-T G.722. Since our previous approach uses a sigmoid function as the muting curve and core parameters are determined globally according to the overall training data in the separate training step, i.e., the grid search, temporal variations cannot be considered over time. To address this problem, we propose to update the core parameters of the logistic function instantaneously using the least mean square (LMS) algorithm during good frames and to use the parameters in the missing frames. To perform the LMS algorithm on each frame, the steepest descent optimization criterion for the logistic function is applied to minimize the squared error between the original signal and the reconstructed signal during good frames. Experimental results indicate that the proposed muting approach outperforms the conventional muting approaches.
- URI
- https://www.ingentaconnect.com/content/dav/aaua/2019/00000105/00000002/art00013;jsessionid=1xrxwz3fd8zsi.x-ic-live-03https://repository.hanyang.ac.kr/handle/20.500.11754/122103
- ISSN
- 1610-1928; 1861-9959
- DOI
- 10.3813/AAA.919317
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML