ABSTRACT. Speech emotion recognition (SER) is a requisite for emotional intelligence that affects the understanding of speech. One of.
Feb 20, 2020 · In this paper, a novel spatiotemporal context modelling framework for robust SER is proposed to learn feature representation by using acoustic ...
Anti-transfer can be used to address open research problems in speech and audio processing, such as speaker or context invariance in word or emotion ...
Dec 3, 2023 · This paper presents a novel spatio-temporal representation learning enhanced speech emotion recognition with multi-head attention mechanisms(STRL-SER).
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Nov 14, 2022 · We introduce a novel temporal emotional modeling approach for SER, termed Temporal-aware bI-direction Multi-scale Network (TIM-Net), which learns multi-scale ...
Sep 4, 2023 · This paper proposes a hierarchical emotional context feature learning model that improves multichannel electroencephalography (EEG)-based emotion recognition.
Jul 25, 2023 · This study proposed an attention-based network with a pre-trained convolutional neural network and regularized neighbourhood component analysis ...
Apr 21, 2024 · In this paper, we propose a simple SER method (MFHCA) based on Multi-Spatial Fusion module (MF) and Hierarchical. Cooperative Attention module ( ...
Speech emotion recognition (SER) plays an important role in multiple fields such as healthcare, human-computer interaction. (HCI), and security and defense.
This research paper proposed an innovative algorithm for facial expression recognition which combined a deep learning algorithm and dynamic texture methods.