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Keyword spotting is the task of identifying the occurrences of certain desired keywords in an arbitrary speech signal. Keyword spotting has many applications one of them is telephone routing. In particular, we consider a big company which receives thousands of telephone calls daily. We are interested with the classification of these calls to route them to the appropriate department. State-of-the-art approaches in keyword spotting considered the speech signal as continuous speech, where keywords and non-keywords are modeled using hidden Markov models. In this paper, we suggest a perceptual approach, which exploit acoustic particularities of the predefined keywords to detect their frontiers, without modeling the out-of-vocabulary (OOV) words.