Advanced Deep Learning Models For Emotion Detection In Speech: Applying The Ravdess Dataset
GDP Aryono, D Ferawati… - Jurasik (Jurnal Riset …, 2024 - ejurnal.tunasbangsa.ac.id
This study introduces a comprehensive approach to emotion recognition in speech using the
Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS). The method …
Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS). The method …
Comparative analysis of multi-loss functions for enhanced multi-modal speech emotion recognition
In recent years, multi-modal analysis has gained significant prominence across domains
such as audio/speech processing, natural language processing, and affective computing …
such as audio/speech processing, natural language processing, and affective computing …
Mersa: Multimodal emotion recognition with self-align embedding
QB Le, KT Trinh, NDH Son, PN Tran… - 2024 International …, 2024 - ieeexplore.ieee.org
Emotions are an integral part of human communication and interaction, significantly sha**
our social connections, decision-making, and overall well-being. Understanding and …
our social connections, decision-making, and overall well-being. Understanding and …
SER-Fuse: An Emotion Recognition Application Utilizing Multi-Modal, Multi-Lingual, and Multi-Feature Fusion
Speech emotion recognition (SER) is a crucial aspect of affective computing and human-
computer interaction, yet effectively identifying emotions in different speakers and languages …
computer interaction, yet effectively identifying emotions in different speakers and languages …
Enhancing Speech Emotion Recognition Through Knowledge Distillation
The importance of Speech Emotion Recognition (SER) is growing across diverse
applications, which has resulted in the development of multiple methodologies and models …
applications, which has resulted in the development of multiple methodologies and models …