A template-based isolated word-recognition system, with adaptation of templates by weighted averaging with recognised input utterances, is described. Experiments with adaptation of speaker-specific and speaker-independent templates are reported. The results show substantial improvements in the recognition accuracies attained, and reveal the importance of applying compensation technique which adjusts the word distances obtained according to the amounts of adaptation applied. Aspects of interaction between the system and the user are discussed.