Mismatch problem in deep-learning based speech enhancement
Speech enhancement aims to suppress background noise in noisy speech signals in order to improve speech perceptual quality and intelligibility. For tasks utilizing deep learning mechanisms, the training and testing data are usually assumed to have the same probability distribution. However, real-lif...
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| Format: | Thesis-Doctor of Philosophy |
| Sprache: | English |
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Nanyang Technological University
2022
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| Online Zugang: | https://hdl.handle.net/10356/159197 |