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ORCIDRobust Speech Recognition of Uncertain or Missing Data 2011
- Dorothea Kolossa
, Reinhold Haeb-Umbach:
Robust Speech Recognition of Uncertain or Missing Data - Theory and Applications. Springer 2011, ISBN 978-3-642-21316-8
Part 1 / Theoretical Foundations
- Reinhold Haeb-Umbach, Dorothea Kolossa:
Introduction. 1-5 - Reinhold Haeb-Umbach:
Uncertainty Decoding and Conditional Bayesian Estimation. 9-33 - Ramón Fernandez Astudillo, Dorothea Kolossa:
Uncertainty Propagation. 35-64
Part 2 / Applications: Noise Robustness
- Li Deng:
Front-End, Back-End, and Hybrid Techniques for Noise-Robust Speech Recognition. 67-99 - Mark J. F. Gales:
Model-Based Approaches to Handling Uncertainty. 101-125 - Bhiksha Raj, Rita Singh:
Reconstructing Noise-Corrupted Spectrographic Components for Robust Speech Recognition. 127-156 - Jort F. Gemmeke, Maarten Van Segbroeck, Yujun Wang, Bert Cranen, Hugo Van hamme:
Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World Data. 157-185 - Volker Leutnant, Reinhold Haeb-Umbach:
Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition. 187-221
Part 3 / Applications: Reverberation Robustness
- Marc Delcroix, Shinji Watanabe, Tomohiro Nakatani:
Variance Compensation for Recognition of Reverberant Speech with Dereverberation Preprocessing. 225-255 - Alexander Krueger, Reinhold Haeb-Umbach:
A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition. 257-290
Part 4 / Applications: Multiple Speakers and Modalities
- Marco Kühne, Roberto Togneri, Sven Nordholm:
Evidence Modeling for Missing Data Speech Recognition Using Small Microphone Arrays. 293-318 - Eugen Hoffmann, Dorothea Kolossa, Reinhold Orglmeister:
Recognition of Multiple Speech Sources Using ICA. 319-344 - Alexander Vorwerk, Steffen Zeiler, Dorothea Kolossa, Ramón Fernandez Astudillo, Dennis Lerch:
Use of Missing and Unreliable Data for Audiovisual Speech Recognition. 345-375
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