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 ca...

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Bibliographic Details
Main Authors: Samuel Kakuba, Alwin Poulose, Dong Seog Han
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Emotion recognition
spatial features
temporal features
semantic tendency features
multi-head attention
Online Access:https://ieeexplore.ieee.org/document/9966603/

Internet

https://ieeexplore.ieee.org/document/9966603/

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