This paper presents our experiments on continuous audiovisual speech recognition. A number of bimodal systems using feature fusion or fusion within Hidden Markov Models are implemented. Experiments with different fusion techniques and their results are presented. Further the performance levels of the bimodal system and a unimodal speech recognizer under noisy conditions are compared.