This paper presents a new speech source localization method in an adverse environment for microphone array systems. This method is applied to an octave-band decomposition of the signals obtained by the wavelet transform which uses a fast algorithm with short prototype filters. This method is applied in sub-bands separately and consists of two stages. First, a coarse region where the speech source is present is detected. Then the multi-beamforming operation is used to pinpoint the speaker's location. Both stages are based on the examination of the energy level and its variation. The complete algorithm provides relatively small errors in the source localization estimate.
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