3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms
3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Detecting human intentions and emotions helps improve human–robot interactions. Emotion recognition has been a challenging research direction in the past decade. This paper proposes an emotion recognition system based on analysis of speech signals. Firstly, we split each speech signal into overlapping frames of the same length. Next, we extract an...
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Full title
3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms
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TN_cdi_doaj_primary_oai_doaj_org_article_322022d295fb41298d5da9304dba9bc5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_322022d295fb41298d5da9304dba9bc5
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ISSN
1099-4300
E-ISSN
1099-4300
DOI
10.3390/e21050479
