Baby cry recognition based on SLGAN model data generation and deep feature fusion
Deep learning models have been applied in baby cry recognition to enhance the recognition accuracy. However, the current research still suffers from data imbalance problem, which leads to bias in model learning. Sparse Autoencoder Long Short-Term Memory based Generative Adversarial Network (SLGAN) i...
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| Main Authors: | , , |
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| Format: | Article |
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PERGAMON-ELSEVIER SCIENCE LTD
2024
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/44265/ https://doi.org/10.1016/j.eswa.2023.122681 |
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