Binaural loudness based speech reinforcement with a closed-form solution

摘要

This paper addresses a perceptual signal processing to far-end speech signal in communication systems under near-end environmental noise conditions. Based on the binaural perceptual loudness model, the proposed speech reinforcement system achieves better speech quality and clearness. To effectively reflect the noise influence to both ears, the proposed method utilizes a noise level difference between open and receiver side ear. Its computational complexity is also reduced by deriving an approximated closed-form solution while computing frequency-dependent gain factors. Test results confirm that the proposed system significantly enhances the clearness of target speech while maintaining speech quality compared to conventional monaural-based one.