Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features

Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features

The detection and classification of emotional states in speech involves the analysis of audio signals and text transcriptions. There are complex relationships between the extracted features at different time intervals which ought to be analyzed to infer the emotions in speech. These relationships...

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Bibliographic Details
Main Authors: Samuel, Kakuba, Alwin, Poulose, Dong, Seog Han, Senior Member, Ieee
Format: Article
Language:English
Published: IEEE 2023
Subjects:
Emotion recognition,
Spatial features
Temporal features
Semantic tendency features
Multi- head attention
Online Access:http://hdl.handle.net/20.500.12493/921
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http://hdl.handle.net/20.500.12493/921

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