Abstract is missing.
- IntroductionReinhold Haeb-Umbach, Dorothea Kolossa. 1-5 [doi]
- Uncertainty Decoding and Conditional Bayesian EstimationReinhold Haeb-Umbach. 9-33 [doi]
- Uncertainty PropagationRamón Fernandez Astudillo, Dorothea Kolossa. 35-64 [doi]
- Front-End, Back-End, and Hybrid Techniques for Noise-Robust Speech RecognitionLi Deng. 67-99 [doi]
- Model-Based Approaches to Handling UncertaintyM. J. F. Gales. 101-125 [doi]
- Reconstructing Noise-Corrupted Spectrographic Components for Robust Speech RecognitionBhiksha Raj, Rita Singh. 127-156 [doi]
- Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World DataJort F. Gemmeke, Maarten Van Segbroeck, Yujun Wang, Bert Cranen, Hugo Van Hamme. 157-185 [doi]
- Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech RecognitionVolker Leutnant, Reinhold Haeb-Umbach. 187-221 [doi]
- Variance Compensation for Recognition of Reverberant Speech with Dereverberation PreprocessingMarc Delcroix, Shinji Watanabe, Tomohiro Nakatani. 225-255 [doi]
- A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech RecognitionAlexander Krueger, Reinhold Haeb-Umbach. 257-290 [doi]
- Evidence Modeling for Missing Data Speech Recognition Using Small Microphone ArraysMarco Kühne, Roberto Togneri, Sven Nordholm. 293-318 [doi]
- Recognition of Multiple Speech Sources Using ICAEugen Hoffmann, Dorothea Kolossa, Reinhold Orglmeister. 319-344 [doi]
- Use of Missing and Unreliable Data for Audiovisual Speech RecognitionAlexander Vorwerk, Steffen Zeiler, Dorothea Kolossa, Ramón Fernandez Astudillo, Dennis Lerch. 345-375 [doi]