An Optimized Fixed Equalizer for Speech Enhancement

Qi He, Siow Yong Low, Ka Fai Cedric Yiu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper proposes a new method to design the fixed single-channel equalizer parameters based on perceptual evaluation of speech quality (PESQ) and the short-time objective intelligibility (STOI). The proposed equalizer does not require the need for noise estimation nor a voice activity detector. The fixed weightings are obtained by a training process containing a set of training data. A multi-objective optimization problem was formulated with the PESQ and STOI as the objective measures, which results in a set of candidate solutions via the Pareto optimality. Experimental results demonstrate improvements in PESQ and STOI, and the trade-off between these two measures is well defined in a set of Pareto optimal solutions to allow flexible adjustment.

Original languageEnglish
Pages (from-to)5743-5764
Number of pages22
JournalCircuits, Systems, and Signal Processing
Volume41
Issue number10
DOIs
Publication statusPublished - Oct 2022

Keywords

  • Equalizer
  • PESQ
  • Speech enhancement
  • STOI

ASJC Scopus subject areas

  • Signal Processing
  • Applied Mathematics

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