A Parallel-Model Speech Emotion Recognition Network Based on Feature Clustering
Speech Emotion Recognition (SER) is a common aspect of human-computer interaction and has significant applications in fields such as healthcare, education, and elder care. Although researchers have made progress in speech emotion feature extraction and model identification, they have struggled to cr...
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Main Authors: | , , , |
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Format: | Article |
Language: | English English |
Published: |
IEEE
2023
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Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/38207/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38207/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/38207/ https://doi.org/10.1109/ACCESS.2023.3294274 |
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Institution: | Universiti Malaysia Sabah |
Language: | English English |