Novel Speech-Based Emotion Climate Recognition in Peers’ Conversations Incorporating Affect Dynamics and Temporal Convolutional Neural Networks

Novel Speech-Based Emotion Climate Recognition in Peers’ Conversations Incorporating Affect Dynamics and Temporal Convolutional Neural Networks

Peers’ conversation provides a domain of rich emotional information. The latter, apart from facial and gestural expressions, it is also naturally conveyed via peers’ speech, contributing to the establishment of a dynamic emotion climate (EC) during their conversational interact...

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Bibliographic Details
Main Authors: Ghada Alhussein, Mohanad Alkhodari, Ahsan H. Khandoker, Leontios J. Hadjileontiadis
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Conversational emotion climate recognition
arousal/valence
mel-frequency cepstrum coefficients (MFCCs)
affect dynamics
temporal convolutional neural networks (TCNN)
AffECt
Online Access:https://ieeexplore.ieee.org/document/10839385/
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