Abstract
In this paper we study an automatic speech recognition system formed by the association of Harmonic Noise Model (HNM) and Hidden Markov model (HMM). The HNM algorithm is used to extract the acoustic parameters and the HMM model is used to train and recognize this parameters. We use the spoken Arabic digit to measure the performance of our recognition system.
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