In this work, we describe an interaural magnification algorithm for speech enhancement in noise and reverberation. The proposed algorithm operates by magnifying the interaural level differences corresponding to the interfering sound source. The enhanced signal outputs are estimated by processing the signal inputs with the interaurally-magnified head-related transfer functions. Experimental results with speech masked by a single interfering source in anechoic and reverberant scenarios indicate that the proposed algorithm yields an increased benefit due to spatial release from masking and a much higher perceived speech quality.
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