Speech reinforcement with a globally optimized perceptual distortion measure for noisy reverberant channels

In this paper, a time-frequency weighting is proposed for speech reinforcement (near-end listening enhancement) in a noisy and reverberant environment, which optimizes a perceptual distortion measure globally for a number of time-frequency bins. Simulations confirm the optimality of the algorithm and a comparison is made to three reference methods using two additional instrumental measures.