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Reference-free and Confidence-independent Binary Quality Estimation for Automatic Speech Recognition
We address the problem of assigning binary quality labels to automatically transcribed utterances when neither reference transcripts nor information about the decoding process are accessible. Our quality estimation models are evaluated in a large vocabulary continuous speech recognition setting (the...
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| Main Authors: | , , , , |
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| Formato: | Chapter |
| Idioma: | Inglês |
| Publicado em: |
Accademia University Press
2015
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| Acesso em linha: | https://doi.org/10.4000/books.aaccademia.1562 https://hdl.handle.net/20.500.13089/1d23 https://books.openedition.org/aaccademia/1562 |
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