Algorithms for Near-End Listening Enhancement (NELE) improve the intelligibility of speech from the far-end, played back in a near-end noisy environment, by adaptively filtering the speech signal and taking into account the near-end background noise characteristics. In contrast to previous works, this study considers that the speech from the far-end is also disturbed by additive noise. A noise reduction (NR) subsystem is concatenated to NELE and a joint control of NR and NELE is proposed. Listening tests confirm that the joint control leads to a significantly higher intelligibility and quality.
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