Speaker Verification Systems Under Various Noise and SNR Conditions
In speaker verification, the mismatches between the training speech and the testing speech can greatly affect the robustness of classification algorithms, and the mismatches are mainly caused by the changes in the noise types and the signal to noise ratios. This thesis aims at finding the most robus...
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| Language: | en |
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Université d'Ottawa / University of Ottawa
2017
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| Online Access: | http://hdl.handle.net/10393/36888 http://dx.doi.org/10.20381/ruor-21160 |