In this paper, a new hybrid approach is presented for keyword spotting. The proposed method is based on Hidden Markov Mode (HMM) and is performed in two stages. In the first stage by using phoneme models, a series of candidate keyword(s) is recognized. In the second stage, word models are used to decide on acceptance or rejection of each candidate keyword. Two different methods are presented in the second stage to improve the spotting performance of the first stage.