Advancing Spanish Speech Emotion Recognition: A Comprehensive Benchmark of Pre-Trained Models
Feature extraction for speech emotion recognition (SER) has evolved from handcrafted techniques through deep learning methods to embeddings derived from pre-trained models (PTMs). This study presents the first comparative analysis focused on using PTMs for Spanish SER, evaluating six models—Whisper,...
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| Main Authors: | Alex Mares, Gerardo Diaz-Arango, Jorge Perez-Jacome-Friscione, Hector Vazquez-Leal, Luis Hernandez-Martinez, Jesus Huerta-Chua, Andres Felipe Jaramillo-Alvarado, Alfonso Dominguez-Chavez |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/8/4340 |
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