Abstract
This paper proposes a new double talk detection algorithm which is based on fuzzy theory for use in the adaptive echo canceller of a telecommunication system. In this method, the two inputs of the fuzzy inference for detecting double talk condition are used. One input is the cross-correlation coefficient between the error signal and the primary signal which is the summed signal of the real echo signal and the near-end signal. The other is the cross-correlation coefficient between the estimation error signal and the primary signal. It is confirmed by computer simulation that this fuzzy double talk detector is able to track echo path variation accurately during the double talk.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
