ISCA Archive Interspeech 2013
ISCA Archive Interspeech 2013

On the enhancement of dereverberation algorithms based on a perceptual evaluation criterion

Thiago de M. Prego, Amaro A. de Lima, Sergio L. Netto

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.


doi: 10.21437/Interspeech.2013-359

Cite as: Prego, T.d.M., Lima, A.A.d., Netto, S.L. (2013) On the enhancement of dereverberation algorithms based on a perceptual evaluation criterion. Proc. Interspeech 2013, 1360-1364, doi: 10.21437/Interspeech.2013-359

@inproceedings{prego13_interspeech,
  author={Thiago de M. Prego and Amaro A. de Lima and Sergio L. Netto},
  title={{On the enhancement of dereverberation algorithms based on a perceptual evaluation criterion}},
  year=2013,
  booktitle={Proc. Interspeech 2013},
  pages={1360--1364},
  doi={10.21437/Interspeech.2013-359}
}