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Evaluation of a near-end listening enhancement algorithm by combined speech intelligibility and listening effort measurements

: Rennies-Hochmuth, Jan; Pusch, Arne; Schepker, Henning; Doclo, Simon


Journal of the Acoustical Society of America : JASA 144 (2018), No.4, pp.EL315-EL321
ISSN: 0001-4966
ISSN: 1520-8524
Journal Article
Fraunhofer IDMT ()

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.