Separation of underdetermined speech mixture based on sparse Bayesian recovery
This thesis focuses on solving the problems of separating underdetermined speech mixture using sparse Bayesian recovery techniques. Firstly, this thesis describes a novel algorithm to improve the performance of sparsity based single-channel speech separation. The conventional approach assumes th...
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| Format: | Thesis |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/72445 |