Hybrid deep learning with optimal feature selection for speech emotion recognition using improved meta-heuristic algorithm
K Manohar, E Logashanmugam - Knowledge-Based Systems, 2022 - Elsevier
Speech emotion recognition is the crucial stream in emotional computing and also create
few issues owing to its complication in processing. The efficiency of the acoustic methods …
few issues owing to its complication in processing. The efficiency of the acoustic methods …
[引用][C] Hybrid deep learning with optimal feature selection for speech emotion recognition using improved meta-heuristic algorithm
K Manohar, E Logashanmugam - Knowledge-Based Systems, 2022 - cir.nii.ac.jp
Hybrid deep learning with optimal feature selection for speech emotion recognition using
improved meta-heuristic algorithm | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ …
improved meta-heuristic algorithm | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ …
Hybrid deep learning with optimal feature selection for speech emotion recognition using improved meta-heuristic algorithm
K Manohar, E Logashanmugam - 2022 - dl.acm.org
Speech emotion recognition is the crucial stream in emotional computing and also create
few issues owing to its complication in processing. The efficiency of the acoustic methods …
few issues owing to its complication in processing. The efficiency of the acoustic methods …