Explainable Artificial Intelligence Techniques for Speech Emotion Recognition: A Focus on XAI Models

This study employs Explainable Artificial Intelligence (XAI) techniques, including SHAP, LIME, and XGBoost, to interpret speech-emotion recognition (SER) models. Unlike previous work focusing on generic datasets, this research integrates these tools to explore the unique emotional nuances within an...

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Detalles Bibliográficos

Principais autores:	Michael Norval, Zenghui Wang
Formato:	Artigo
Idioma:	Inglês
Publicado:	Asociación Española para la Inteligencia Artificial 2025-06-01
Series:	Inteligencia Artificial
Assuntos:	Artificial Intelligence Speech Emotion Recognition Shapley additive explanations Local Interpretable Model-agnostic
Acceso en liña:	http://journal.iberamia.org/index.php/intartif/article/view/1809
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