A system approach to multi-channel acoustic echo cancellation and residual echo suppression for robust hands-free teleconferencing

Wung, Jason

Title:

A system approach to multi-channel acoustic echo cancellation and residual echo suppression for robust hands-free teleconferencing

dc.contributor.advisor	Juang, Biing-Hwang
dc.contributor.author	Wung, Jason
dc.contributor.committeeMember	Vidakovic, Brani
dc.contributor.committeeMember	Clements, Mark A.
dc.contributor.committeeMember	Anderson, David V.
dc.contributor.committeeMember	Stüber, Gordon L.
dc.contributor.department	Electrical and Computer Engineering
dc.date.accessioned	2015-06-08T18:09:25Z
dc.date.available	2015-06-08T18:09:25Z
dc.date.created	2015-05
dc.date.issued	2015-04-06
dc.date.submitted	May 2015
dc.date.updated	2015-06-08T18:09:25Z
dc.description.abstract	The objective of the research is to achieve a systematic combination of acoustic echo reduction components that together achieve a robust performance of the MCAEC system as a whole. Conventional approaches to the acoustic echo reduction system typically assume that individual components would perform ideally. For example, the adaptive algorithm for AEC is often developed in the absence of strong near-end signal, the algorithm for RES is often an added module that is developed as a separate noise reduction component, and the decorrelation procedure for MCAEC is yet another add-on module that simply introduces some form of distortion to the reference signal. The main challenge is in designing a consistent criterion across all modules that can be jointly optimized to form a more consistent framework for acoustic echo reduction. The decorrelation procedure can potentially benefit from the system approach as well if it is designed by taking the near-end listener into account. The MCAEC system should be optimized not only for the echo cancellation and suppression performance, but also for the reference signal quality after the added distortion from the decorrelation procedure. Finally, a tuning strategy is presented to jointly optimize the parameters across all modules using object criteria.
dc.description.degree	Ph.D.
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/1853/53384
dc.language.iso	en_US
dc.publisher	Georgia Institute of Technology
dc.subject	Decorrelation
dc.subject	Resampling
dc.subject	Teleconferencing
dc.subject	Acoustic echo cancellation
dc.subject	Residual echo suppression
dc.title	A system approach to multi-channel acoustic echo cancellation and residual echo suppression for robust hands-free teleconferencing
dc.type	Text
dc.type.genre	Dissertation
dspace.entity.type	Publication
local.contributor.advisor	Juang, Biing-Hwang
local.contributor.corporatename	School of Electrical and Computer Engineering
local.contributor.corporatename	College of Engineering
relation.isAdvisorOfPublication	2818fb2c-1e00-4140-a090-68294889005d
relation.isOrgUnitOfPublication	5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication	7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level	Doctoral