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- W2898066540 abstract "Previous studies showed that near-end listening enhancement (NELE) algorithms can significantly improve speech intelligibility in noisy environments. This study investigates the benefit of the NELE algorithm AdaptDRC in normal-hearing listeners at signal-to-noise ratios (SNRs) for which speech intelligibility is at ceiling, by evaluating listening effort for processed and unprocessed speech in the presence of speech-shaped and cafeteria noise. The results suggest that the NELE algorithm is able to reduce listening effort over a wide range of SNRs. Hence, listening effort seems to be applicable for evaluating NELE algorithms over a much wider SNR range than speech intelligibility." @default.
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- W2898066540 date "2018-10-01" @default.
- W2898066540 modified "2023-09-25" @default.
- W2898066540 title "Evaluation of a near-end listening enhancement algorithm by combined speech intelligibility and listening effort measurements" @default.
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- W2898066540 doi "https://doi.org/10.1121/1.5064956" @default.
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