Speech emotion recognition based on a stacked autoencoders optimized by PSO based grass fibrous root optimization

Speech emotion recognition based on a stacked autoencoders optimized by PSO based grass fibrous root optimization

Abstract Effective speech emotion recognition (SER) poses a significant challenge due to the intricate and subjective nature of human emotions. Recognizing emotional states accurately from speech signals has a broad spectrum of practical applications, such as healthcare, human-computer interaction,...

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Bibliographic Details
Main Authors: Chi Zeng, Jialing Li, Abbas Habibi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Speech emotion recognition
Stacked autoencoders
Particle swarm optimization
Grass fibrous root optimization
Feature extraction
Emotional States
Online Access:https://doi.org/10.1038/s41598-025-08703-x
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https://doi.org/10.1038/s41598-025-08703-x

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