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Discovering the Optimal Setup for Speech Emotion Recognitio..:
, In:
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
,
Berdos, Paul Joshua B.
;
Saligumba, Joan O.
;
Deveza, Karlo P.
. - p. 1-5 , 2022
Link:
https://doi.org/10.1109/HNICEM57413.2022.10109279
RT T1
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
: T1
Discovering the Optimal Setup for Speech Emotion Recognition Model Incorporating Different CNN Architectures
UL https://suche.suub.uni-bremen.de/peid=ieee-10109279&Exemplar=1&LAN=DE A1 Berdos, Paul Joshua B. A1 Saligumba, Joan O. A1 Deveza, Karlo P. A1 Estrada, Jheanel E. YR 2022 SN 2770-0682 K1 Deep learning K1 Emotion recognition K1 Databases K1 Natural languages K1 Speech recognition K1 Feature extraction K1 Mel frequency cepstral coefficient K1 Emotion Recognition K1 Deep Learning K1 1D CNN K1 2D CNN K1 CNN-LSTM K1 Natural Database K1 MFCC SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/HNICEM57413.2022.10109279 DO https://doi.org/10.1109/HNICEM57413.2022.10109279 SF ELIB - SuUB Bremen
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