Enhancing Embedded Space with Low–Level Features for Speech Emotion Recognition
This work proposes an approach that uses a feature space by combining the representation obtained in the unsupervised learning process and manually selected features defining the prosody of the utterances. In the experiments, we used two time-frequency representations (Mel and CQT spectrograms) and...
| Հիմնական հեղինակներ: | , |
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| Ձևաչափ: | Հոդված |
| Լեզու: | English |
| Հրապարակվել է: |
MDPI AG
2025-02-01
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| Շարք: | Applied Sciences |
| Խորագրեր: | |
| Առցանց հասանելիություն: | https://www.mdpi.com/2076-3417/15/5/2598 |