Abstract is missing.
- IntroductionTuomas Virtanen, Rita Singh, Bhiksha Raj. 1-5 [doi]
- The Basics of Automatic Speech RecognitionRita Singh, Bhiksha Raj, Tuomas Virtanen. 7-30 [doi]
- The Problem of Robustness in Automatic Speech RecognitionBhiksha Raj, Tuomas Virtanen, Rita Singh. 31-50 [doi]
- Voice Activity Detection, Noise Estimation, and Adaptive Filters for Acoustic Signal EnhancementRainer Martin, Dorothea Kolossa. 51-85 [doi]
- Extraction of Speech from Mixture SignalsParis Smaragdis. 87-108 [doi]
- Microphone ArraysJohn W. McDonough, Ken'ichi Kumatani. 109-157 [doi]
- From Signals to Speech Features by Digital Signal ProcessingMatthias Wölfel. 159-192 [doi]
- Features Based on Auditory Physiology and PerceptionRichard M. Stern, Nelson Morgan. 193-227 [doi]
- Feature CompensationJasha Droppo. 229-250 [doi]
- Reverberant Speech RecognitionReinhold Haeb-Umbach, Alexander Krueger. 251-281 [doi]
- Adaptation and Discriminative Training of Acoustic ModelsYannick Estève, Paul Deléglise. 283-310 [doi]
- Factorial Models for Noise Robust Speech RecognitionJohn R. Hershey, Steven J. Rennie, Jonathan Le Roux. 311-345 [doi]
- Acoustic Model Training for Robust Speech RecognitionMichael L. Seltzer. 347-368 [doi]
- Missing-Data Techniques: Recognition with Incomplete SpectrogramsJon Barker. 369-398 [doi]
- Missing-Data Techniques: Feature ReconstructionJort Florent Gemmeke, Ulpu Remes. 399-432 [doi]
- Computational Auditory Scene Analysis and Automatic Speech RecognitionArun Narayanan, DeLiang Wang. 433-462 [doi]
- Uncertainty DecodingHank Liao. 463-486 [doi]