Emotion recognition from speech with StarGAN and Dense‐DCNN
Abstract Both traditional and the latest speech emotion recognition methods face the same problem, that is, the lack of standard emotion speech data sets. This leads to the network being unable to learn emotion features comprehensively because of limited data. Moreover, in these methods, the time re...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-02-01
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| Series: | IET Signal Processing |
| Online Access: | https://doi.org/10.1049/sil2.12078 |
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