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Article

2 Citations

4,314 Views

28 Pages

Advancing Spanish Speech Emotion Recognition: A Comprehensive Benchmark of Pre-Trained Models

Alex Mares,
Gerardo Diaz-Arango,
Jorge Perez-Jacome-Friscione,
Hector Vazquez-Leal,
Luis Hernandez-Martinez,
Jesus Huerta-Chua,
Andres Felipe Jaramillo-Alvarado and
Alfonso Dominguez-Chavez

Appl. Sci.2025, 15(8), 4340;https://doi.org/10.3390/app15084340

14 April 2025

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 PT...

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Article

14 Citations

6,172 Views

34 Pages

Mexican Emotional Speech Database Based on Semantic, Frequency, Familiarity, Concreteness, and Cultural Shaping of Affective Prosody

Mathilde Marie Duville,
Luz María Alonso-Valerdi and
David I. Ibarra-Zarate

Data2021, 6(12), 130;https://doi.org/10.3390/data6120130

6 December 2021

In this paper, the Mexican Emotional Speech Database (MESD) that contains single-word emotional utterances for anger, disgust, fear, happiness, neutral and sadness with adult (male and female) and child voices is described. To validate the emotional...

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Article

34 Citations

5,070 Views

13 Pages

A Study of Cross-Linguistic Speech Emotion Recognition Based on 2D Feature Spaces

Gintautas Tamulevičius,
Gražina Korvel,
Anil Bora Yayak,
Povilas Treigys,
Jolita Bernatavičienė and
Bożena Kostek

Electronics2020, 9(10), 1725;https://doi.org/10.3390/electronics9101725

20 October 2020

In this research, a study of cross-linguistic speech emotion recognition is performed. For this purpose, emotional data of different languages (English, Lithuanian, German, Spanish, Serbian, and Polish) are collected, resulting in a cross-linguistic...

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Article

31 Citations

4,423 Views

17 Pages

The Emotion Probe: On the Universality of Cross-Linguistic and Cross-Gender Speech Emotion Recognition via Machine Learning

Giovanni Costantini,
Emilia Parada-Cabaleiro,
Daniele Casali and
Valerio Cesarini

Sensors2022, 22(7), 2461;https://doi.org/10.3390/s22072461

23 March 2022

Machine Learning (ML) algorithms within a human–computer framework are the leading force in speech emotion recognition (SER). However, few studies explore cross-corpora aspects of SER; this work aims to explore the feasibility and characteristi...

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