Speech Emotion Recognition via Sparse Learning-Based Fusion Model

Speech Emotion Recognition via Sparse Learning-Based Fusion Model

Speech communication is a powerful tool for conveying intentions and emotions, fostering mutual understanding, and strengthening relationships. In the realm of natural human-computer interaction, speech-emotion recognition plays a crucial role. This process involves three stages: dataset collection,...

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Bibliographic Details
Main Authors: Dong-Jin Min, Deok-Hwan Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Emotion recognition
2D convolutional neural network squeeze and excitation network
multivariate long short-term memory-fully convolutional network
late fusion
sparse learning
Online Access:https://ieeexplore.ieee.org/document/10767710/
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