[PDF][PDF] Dual memory fusion for multimodal speech emotion recognition

D Priyasad, T Fernando, S Sridharan… - Proc …, 2023 - isca-archive.org
Deep learning has been widely used in multi-modal Speech Emotion Recognition (SER) to
learn sentiment-related features by aggregating representations from multiple modes …

[PDF][PDF] Episodic Memory For Domain-Adaptable, Robust Speech Emotion Recognition

J Tavernor, M Perez, E Mower Provost - Interspeech, 2023 - par.nsf.gov
Emotion conveys abundant information that can improve the user experience of various
automated systems, in addition to communicating information important for managing …

[PDF][PDF] Capturing mismatch between textual and acoustic emotion expressions for mood identification in bipolar disorder

M Niu, A Romana, M Jaiswal, M McInnis… - Interspeech, 2023 - par.nsf.gov
Emotion is a complex behavioral phenomenon, which is expressed and perceived through
various modalities, such as language, vocal and facial expressions. Psychiatric research …

Deep functional multiple index models with an application to SER

M Saumard, AE Haj, T Napoleon - arXiv preprint arXiv:2403.17562, 2024 - arxiv.org
Speech Emotion Recognition (SER) plays a crucial role in advancing human-computer
interaction and speech processing capabilities. We introduce a novel deep-learning …

Non-speech emotion recognition based on back propagation feed forward networks

X Zhang, H Xiao - Journal of Intelligent & Fuzzy Systems, 2024 - content.iospress.com
Non-speech emotion recognition involves identifying emotions conveyed through non-
verbal vocalizations such as laughter, crying, and other sound signals, which play a crucial …

[PDF][PDF] 2.8 Paper G: Dual Memory Fusion for Multimodal Speech Emotion Recognition

D Priyasad, T Fernando, S Denman… - … Information Fusion in …, 2023 - eprints.qut.edu.au
Deep learning has been widely used in multi-modal Speech Emotion Recognition (SER) to
learn sentiment-related features by aggregating representations from multiple modes …