Speech energy redistribution for intelligibility improvement in noise based on a perceptual distortion measure ?
An algorithm is presented to improve speech intelligibility for the near-end listener. Speech energy is redistributed optimally for a perceptual distortion measure. An intelligibility listening test is performed to evaluate the proposed method. The algorithm leads to significant intelligibility gains, while preserving quality. A reference method obtained higher intelligibility gains, with a decrease in quality.
intelligibility improvement near-end speech enhancement transients