Robust speech recognition of uncertain or missing data theory and applications
Automatic speech recognition suffers from a lack of robustness with respect to noise, reverberation and interfering speech. The growing field of speech recognition in the presence of missing or uncertain input data seeks to ameliorate those problems by using not only a preprocessed speech signal but...
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| Outros autores: | , |
| Formato: | Electronic Resource |
| Idioma: | English |
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New York
Springer
2011.
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| Acceso en liña: | Available for University of the Philippines Diliman via SpringerLink. Click here to access |