Format:
Online-Ressource (xviii, 380 p)
,
ill. (some col.)
Edition:
Online-Ausg. 2011 Electronic reproduction; Available via World Wide Web
ISBN:
9783642213168
Content:
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 also an estimate of its reliability to selectively focus on those segments and features that are most reliable for recognition. This book presents the state of the art in recognition in the presence of uncertainty, offering examples that utilize uncertainty information for noise robustness, reverbe
Note:
Includes bibliographical references and index
,
pt. 1. Theoretical foundations -- pt. 2. Applications : noise robustness -- pt. 3. Applications : reverberation robustness -- pt. 4. Applications : multiple speakers and modalities.
,
Electronic reproduction; Available via World Wide Web
Additional Edition:
9783642213175
Additional Edition:
9783642213168
Additional Edition:
Print version Robust Speech Recognition of Uncertain or Missing Data
Language:
English
URL:
Volltext
(lizenzpflichtig)
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