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In this paper we describe a technique for non-keyword rejection and we will evaluate in the context of a n audiotex service using the ten Spanish digits. The baseline keyword recognition system is a speaker-independent continuous density Hidden Markov Model recognizer. We propose the use of an affine transformation to the log-probability of the garbage model, a n HMM model trained to account for both nonkeyword speech and non-stationary telephone noises. The parameters of the transformation fordoi:10.1109/icassp.1993.319339 dblp:conf/icassp/VillarrubiaA93 fatcat:2dxeruq4nbgv3ae6yzfpms6gdu