2019
DOI: 10.1080/17483107.2019.1642394
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A systematic review and meta-analysis of digital noise reduction hearing aids in adults

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Cited by 10 publications
(6 citation statements)
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References 30 publications
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“…A recent white paper observed a 3 dB improvement in SNR when using DNR with adaptive directionality compared with an omnidirectional condition (Taylor & Jensen 2022). This 3 dB effect is much larger than expected from DNR alone (Lakshmi et al 2021), and is likely due primarily to the directionality. Another white paper observed no difference in speech intelligibility when using noise reduction (Gastler & Pisa 2010).…”
Section: Discussionmentioning
confidence: 66%
See 1 more Smart Citation
“…A recent white paper observed a 3 dB improvement in SNR when using DNR with adaptive directionality compared with an omnidirectional condition (Taylor & Jensen 2022). This 3 dB effect is much larger than expected from DNR alone (Lakshmi et al 2021), and is likely due primarily to the directionality. Another white paper observed no difference in speech intelligibility when using noise reduction (Gastler & Pisa 2010).…”
Section: Discussionmentioning
confidence: 66%
“…DNR is a hearing aid processing strategy that aims to reduce the amplification for especially noisy time-portions of a speech signal. DNR is used in the majority of wearable hearing aids; however, a recent systematic review found that there was no significant benefit of DNR for speech recognition, whether applied alone or in conjunction with directionality (Lakshmi et al 2021). One study even found that DNR processing reduced speech intelligibility (Reinhart et al 2020).…”
Section: Introductionmentioning
confidence: 99%
“…This standard item focuses on the selection and fitting of hearing aid signal processing, including gain and special features. The standard is based, among other things, on decades of research into benefits (e.g., on speech recognition, subjective hearing aid benefit, sound quality ratings) of input-specific gain configuration as specified by prescriptive fitting methods, 38 66 67 68 69 digital noise reduction, 70 71 72 73 unilateral beamforming, 5 74 75 bilateral beamformer microphones, 76 77 78 and frequency lowering. 79 80 81 82 Although these features and signal processing strategies have documented benefits, it is noteworthy the benefits can be small and person-specific.…”
Section: Hearing Aid Processingmentioning
confidence: 99%
“…One commonly used group of techniques focus on the temporal domain. These exploit the fact that the amplitude envelope of speech tends to have a lower modulation frequency and depth than environmental noise ( Ding et al, 2017 ; Lakshmi et al, 2021 ). These techniques classify speech signals as having a modulation rate less than around 10–30 Hz and a modulation depth greater than around 15 dB (e.g., Schum, 2003 ).…”
Section: Haptic Signal-processing Approachesmentioning
confidence: 99%
“…These techniques might be adapted to focus on the typical characteristics of musical instruments (e.g., Ding et al, 2017 ), although it should be noted that these approaches were developed to extract a single sound source and that musical instruments often share temporal and spectral characteristics. Furthermore, a recent meta-analysis found no significant improvement in speech intelligibility with digital noise-reduction algorithms in HA users, although subjective outcomes, such as sound quality, did show moderate improvement ( Lakshmi et al, 2021 ).…”
Section: Haptic Signal-processing Approachesmentioning
confidence: 99%