Cargando…
Robust Multi-Scenario Speech-Based Emotion Recognition System †
Every human being experiences emotions daily, e.g., joy, sadness, fear, anger. These might be revealed through speech—words are often accompanied by our emotional states when we talk. Different acoustic emotional databases are freely available for solving the Emotional Speech Recognition (ESR) task....
Autores principales: | Zhu-Zhou, Fangfang, Gil-Pita, Roberto, García-Gómez, Joaquín, Rosa-Zurera, Manuel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953251/ https://www.ncbi.nlm.nih.gov/pubmed/35336515 http://dx.doi.org/10.3390/s22062343 |
Ejemplares similares
-
A Wrapper Feature Selection Algorithm: An Emotional Assessment Using Physiological Recordings from Wearable Sensors
por: Mohino-Herranz, Inma, et al.
Publicado: (2020) -
Activity Recognition Using Wearable Physiological Measurements: Selection of Features from a Comprehensive Literature Study
por: Mohino-Herranz, Inma, et al.
Publicado: (2019) -
Smart Sound Processing for Defect Sizing in Pipelines Using EMAT Actuator Based Multi-Frequency Lamb Waves
por: García-Gómez, Joaquín, et al.
Publicado: (2018) -
Assessment of Mental, Emotional and Physical Stress through Analysis of Physiological Signals Using Smartphones
por: Mohino-Herranz, Inma, et al.
Publicado: (2015) -
Robust Latent Multi-Source Adaptation for Encephalogram-Based Emotion Recognition
por: Tao, Jianwen, et al.
Publicado: (2022)