In this paper we study various front-end features, modeling and adaptation algorithms on the Aurora 3 databases, including auditory, moment, and AM-FM modulation features, context-dependent digit models, segmental K-means training, discriminative training, and model adaptations. The evaluation results on Aurora 3 are presented with a brief summary of our Aurora 2 results. Evaluation of Robust Speech Recognition