TY - GEN
T1 - Comparative Study of Masking and Mapping Based on Hierarchical Extreme Learning Machine for Speech Enhancement
AU - Zezario, Ryandhimas E.
AU - Sigalingging, Join W.C.
AU - Hussain, Tassadaq
AU - Wang, Jia Ching
AU - Tsao, Yu
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85081090701&partnerID=8YFLogxK
U2 - 10.1109/ISPACS48206.2019.8986352
DO - 10.1109/ISPACS48206.2019.8986352
M3 - 會議論文篇章
AN - SCOPUS:85081090701
T3 - Proceedings - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
BT - Proceedings - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
Y2 - 3 December 2019 through 6 December 2019
ER -