Enhancing Speech Emotions Recognition Using Multivariate Functional Data Analysis
Speech Emotions Recognition (SER) has gained significant attention in the fields of human–computer interaction and speech processing. In this article, we present a novel approach to improve SER performance by interpreting the Mel Frequency Cepstral Coefficients (MFCC) as a multivariate functional da...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Big Data and Cognitive Computing |
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| Online Access: | https://www.mdpi.com/2504-2289/7/3/146 |