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The goal of this paper is to explore and describe the potential of multilingual acoustic models for automatic speech recognition of the languages spoken in Morocco. The basic experimental framework comes from the OrienTel project, mainly the sound inventory of the Arabic languages and the speech databases. Monolingual and multilingual automatic speech recognition systems for Modern Colloquial and Standard Arabic (MCA and MSA, respectively) and French languages are developed and evaluated, in order to envisage the phonetic exchange and similarity among the three languages. As a main result, it can be stated that a combined modeling of MSA and MCA or, even a trilingual design, does not harm the performance of the recognition system.