Improving robustness of speaker recognition to new conditions using unlabeled data
Unsupervised techniques for the adaptation of speaker recognition are important due to the problem of condition mismatch that is prevalent when applying speaker recognition technology to new conditions and the general scarcity of labeled 'in-domain' data. In the recent NIST 2016 Speaker Re...
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| Autores principales: | Castan, D., McLaren, M., Ferrer, L., Lawson, A., Lozano-Diez, A., Lacerda F., Strombergsson S., Wlodarczak M., Heldner M., Gustafson J., House D. |
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| Formato: | CONF |
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_2308457X_v2017-August_n_p3737_Castan |
| Aporte de: |
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