Exploring the role of phonetic bottleneck features for speaker and language recognition
Using bottleneck features extracted from a deep neural network (DNN) trained to predict senone posteriors has resulted in new, state-of-the-art technology for language and speaker identification. For language identification, the features' dense phonetic information is believed to enable improve...
Guardado en:
| Publicado: |
2016
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15206149_v2016-May_n_p5575_McLaren http://hdl.handle.net/20.500.12110/paper_15206149_v2016-May_n_p5575_McLaren |
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