14thAnnual Conference of the International Speech Communication Association

Lyon, France
August 25-29, 2013

On the Enhancement of Dereverberation Algorithms Based on a Perceptual Evaluation Criterion

Thiago de M. Prego (1), Amaro A. de Lima (1), Sergio L. Netto (2)

(1) Universidade Federal do Rio de Janeiro, Brazil
(2) CEFET, Brazil

This paper describes an optimization strategy based on a perceptual assessment criterion for dereverberation algorithms. The complete procedure is applied to the adaptive inverse-filtering (AIF) and spectral subtraction (SS) stages of a given dereverberation algorithm using the so-called QAreverb quality measure. Experimental results, using a 204-signal speech database, indicate that the associated algorithm can be greatly simplified (in about 97% of the overall computational complexity) by removing the AIF stage. In addition, a fine tuning of the SS stage is able to improve in 6% the algorithm's QAreverb score, resulting in a much simpler and more efficient algorithm in a perceptual point of view.

Full Paper

Bibliographic reference.  Prego, Thiago de M. / Lima, Amaro A. de / Netto, Sergio L. (2013): "On the enhancement of dereverberation algorithms based on a perceptual evaluation criterion", In INTERSPEECH-2013, 1360-1364.