Arousal‐valence recognition using CNN with STFT feature‐combined image

Author:

Lee H.‐J.1ORCID,Lee S.‐G.1

Affiliation:

1. Department of Digital Media EngineeringThe Catholic University of Korea43 Jibong‐roBucheon‐si14662Gyeonggi‐doRepublic of Korea

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

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