We present a possible model for speaker normalization in terms of adaptation. Vowel identification is considered to be based on the integration of a number of decisions. Each decision is of the same simple form: decide whenever the accumulated evidence exceeds a certain threshold (bias). Changing the bias can influence a decision and consequently the identification. This process just as well describes human vowel perception as neural net simulation.
Keywords: Speaker normalization, neural nets