Least-squares inverse filtering of speech

Authors

  • Bradford Gover Univ of Waterloo, Waterloo, Canada
  • James G. Ryan Univ of Waterloo, Waterloo, Canada

Keywords:

Least squares approximations, Mathematical models, Signal filtering and prediction, Dereverberation, Least-squares inverse filtering

Abstract

The difficulty of dereverberating received speech in a hands-free system is examined. Dereverberation is difficult and imperfect even for cases where the impulse response from source to receiver is known. Furthermore, an inverse filter designed from the measurement of room impulse response cannot be used with a different source. If a very long filter is used, speech can be degraded far more than if no equalization has been attempted at all. Finally, the usefulness of least-squares inverse filtering for dereverberation appears to be limited.

Published

1998-09-01

How to Cite

1.
Gover B, Ryan JG. Least-squares inverse filtering of speech. Canadian Acoustics [Internet]. 1998Sep.1 [cited 2021May15];26(3):36-7. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1145

Issue

Section

Proceedings of the Acoustics Week in Canada