Abstract
Echo cancellers using adaptive filtering techniques have traditionally found application in solving a wide variety of communications systems problems. We present here a novel application of an FIR echo canceller to be used in evaluating speaker identification technology on conversational speech data collected over the public telephone network. Various modifications to the standard LMS echo canceller are required to deal with double-talk a time-varying background channel, and stability of the adaptive filter. Our implementation of the echo canceller has been optimized for two-way telephone conversations and has been tested extensively on the Switchboard corpus.
Sign-in/Register to access full text options 
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.
