Comparative Study of Masking and Mapping Based on Hierarchical Extreme Learning Machine for Speech Enhancement

Ryandhimas E Zezario,Tassadaq Hussain,Jia-Ching Wang,Yu Tsao,Join W C Sigalingging

doi:10.1109/ispacs48206.2019.8986352

Comparative Study of Masking and Mapping Based on Hierarchical Extreme Learning Machine for Speech Enhancement

Ryandhimas E Zezario, Tassadaq Hussain + Show 3 more

https://doi.org/10.1109/ispacs48206.2019.8986352

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Publication Date: Dec 1, 2019

Citations: 1

Affiliation: Research Center for Information Technology Innovation, Academia Sinica, Institute of Information Science, Academia Sinica, National Central University

#Hierarchical Extreme Learning Machine #Perceptual Evaluation Of Speech Quality + Show 8 more

Abstract
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Abstract

In this study, we compare the speech enhancement performance based on hierarchical extreme learning machine (HELM) with two distinct strategies: masking and mapping. Experimental results of the perceptual evaluation of speech quality (PESQ) show that for both of limited and sufficient amounts of training data, mapping-based HELM tends to be more effective to improve the performance of speech enhancement.

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