1-D convolutional neural network based on the inner ear principle to automatically assess human’s emotional state
The article proposes an original convolutional neural network (CNN) for solving the problem of the automatic voice-based assessment of a person’s emotional state. Key principles of such CNNs, and state-of-theart approaches to their design are described. A model of one-dimensional (1-D) CNN based on...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/84/e3sconf_TPACEE2020_01023.pdf |