Deep learning based speech enhancement for noise adverse environment
Speech is the primary way humans communicate. Speech enhancement algorithms estimate speech from received signals. Although conventional approaches can achieve accurate estimates under low noise conditions, their performance degrades with reducing signal-to-noise ratio (SNR). This thesis introduces...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/178275 |