This thesis presents a system which has been implemented to satisfy a need in theresearch on how speech planning interacts with syntactic and prosodic structure inspontaneous speech. The long-term purpose of the research is to provide models forautomatic parsing of spontaneous speech and for psycholinguistical modelling of speechproduction. Identification of inhalation pauses is an important step in the developmentof automatic methods for spontaneous speech parsing.Identification of inhalation pauses is considered to be a keyword-spotting speechrecognition problem. Hybrid HMM(Hidden Markov Models)/ANN(Artificial NeuralNetworks) approach is applied to this problem. Method gets 90,8% in Recall, 66,4% inPrecision and 76,7% in F-score.