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We present in this paper a new method of language detection, which allows detection on telephone speech with short sentences (3 seconds). The modeling based on neural networks allows to model any language without acoustic decomposition of the speech signal. We applied our system for a detection task over 11 languages contained in the OGI MLTS corpus with 3 seconds duration signals. The results obtained with our design allow to detect languages with an average competitive rate of 77% for a real time application running on a P4 1.7GHz based platform.