Multimodal emotion recognition from voice and video signals

P Barra, Z Mnasri, D Greco - IEEE EUROCON 2023-20th …, 2023 - ieeexplore.ieee.org
A promising area of research and development that can significantly increase the efficacy
and accuracy of mental health assessments is the use of artificial intelligence (AI) and …

Paralinguistic and spectral feature extraction for speech emotion classification using machine learning techniques

T Liu, X Yuan - EURASIP Journal on Audio, Speech, and Music …, 2023 - Springer
Emotion plays a dominant role in speech. The same utterance with different emotions can
lead to a completely different meaning. The ability to perform various of emotion during …

Multi-source selection transfer learning with privacy-preserving

W Wu - Neural Processing Letters, 2022 - Springer
Transfer learning has ability to create learning task of weakly labeled or unlabeled target
domain by using knowledge of source domain to help, which can effectively improve the …

Topology-adaptive Bayesian optimization for deep ring echo state networks in speech emotion recognition

R Soltani, E Benmohamed, H Ltifi - Neural Computing and Applications, 2024 - Springer
Speech emotion recognition is a difficult task that is gaining attention in a variety of domains,
including psychology, human–computer interaction, and speech processing. To recognize …

Hyper-Enhanced Feature Learning System for Emotion Recognition

H Perry Fordson, X **ng, K Guo, X Xu… - Signal Processing in …, 2023 - Springer
The human body as an entire structure of a person contains physiological and physical
reactions that connect with emotions. Emotions can be thought of as psychological states …

Detección de emociones en discursos utilizando machine learning

MM Leon, RT Dueñas - 593 Digital Publisher CEIT, 2024 - dialnet.unirioja.es
En el contexto actual, donde las interacciones humanas se expanden en la era digital, la
detección de emociones en discursos se establece como un área de investigación crucial …