Name
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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/s00034-022-02051-1 | Circuits, Systems, and Signal Processing |
Keywords | DocType | Volume |
Equalizer, Speech enhancement, STOI, PESQ | Journal | 41 |
Issue | ISSN | Citations |
10 | 0278-081X | 0 |
PageRank | References | Authors |
0.34 | 16 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| He, Qi | 1 | 0 | 0.34 |
| Low, Siow Yong | 2 | 0 | 0.34 |
| Yiu, Ka Fai Cedric | 3 | 0 | 0.34 |