This paper describes a system that enables automatic identification of a sound source position in noisy acoustical conditions with considerable accuracy. Automatic detection of the sound source in such an acoustical environment is much needed in advanced teleconferencing. The approach is based on recurrent neural networks (RNNs) that apply temporal cues as the basis for automatic detection of the sound source. The obtained results and derived conclusions are shown.