A new doubletalk detector with fuzzy decision thresholding

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A doubletalk detector (DTD) is used with an echo canceller to sense when far end speech is corrupted by near end speech. This detection is used to stop the divergence of an adaptive echo canceller. In the steady state, this decision is crucial because it controls the operation of the nonlinear processor (NLP) used for the suppression of residual echo. Various algorithms have been proposed in the literature, all of them having a crisp decision threshold. We review existing algorithms and explore their performance and suitability for real time fixed-point implementation. A new variance based normalized estimator for doubletalk detection is proposed. Finally, a fuzzy system is designed to select the threshold for the DTD during operation. This new algorithm takes into account the near end to far end power ratio, is simple to implement and shows an enhancement in performance. Furthermore, precision requirements are not very stringent for the fuzzy DTD, thus making it suitable for fixed-point implementation.

Original languageEnglish
Title of host publicationProceedings - IEEE Students Conference, ISCON 2002 - Emerging Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages117-121
Number of pages5
ISBN (Electronic)078037505X, 9780780375055
DOIs
StatePublished - 2002
Externally publishedYes
EventIEEE Students Conference, ISCON 2002 - Lahore, Pakistan
Duration: 16 Aug 200217 Aug 2002

Publication series

NameProceedings - IEEE Students Conference, ISCON 2002 - Emerging Technologies

Conference

ConferenceIEEE Students Conference, ISCON 2002
Country/TerritoryPakistan
CityLahore
Period16/08/0217/08/02

Bibliographical note

Publisher Copyright:
© 2002 IEEE.

Keywords

  • Adaptive Filter
  • Doubletalk Detection
  • Line Echo Cancellation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Computer Science Applications

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