Addressing data scarcity in speech emotion recognition: A comprehensive review

Speech emotion recognition (SER) is a critical field within affective computing, aiming to detect and classify emotional states from speech signals, which vary dynamically over time. These signals encode complex relationships between features at multiple time scales, effectively reflecting a speaker...

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Bibliographic Details
Main Authors: Samuel Kakuba, Dong Seog Han
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:ICT Express
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405959524001413
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