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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kolossa, Dorothea. (Editor, http://id.loc.gov/vocabulary/relators/edt), Haeb-Umbach, Reinhold. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edition:1st ed. 2011.
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Online Access:https://doi.org/10.1007/978-3-642-21317-5
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