Optimizing Speech Emotion Recognition with Hilbert Curve and convolutional neural network
In the realm of speech emotion recognition, researchers strive to refine representation methods for improved emotional information capture. Traditional one-dimensional time series classification falls short in expressing intricate emotional patterns present in speech signals, posing challenges in ac...
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| Main Authors: | Zijun Yang, Shi Zhou, Lifeng Zhang, Seiichi Serikawa |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co. Ltd.
2024-01-01
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| Series: | Cognitive Robotics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667241323000411 |
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