New algorithm is designed to take the annoyance out of transient noise

Chalupper, Josef; Powers, Thomas A.

doi:10.1097/01.hj.0000281790.84712.02

Cited by 10 publications

(11 citation statements)

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“…The second DNR algorithm is an adaptive fast-acting noise reduction system, similar in design to Wiener filter technology (see Vaseghi, 2000, for review). The third DNR algorithm is designed to reduce the gain of short duration nonspeech transient sounds (Chalupper and Powers, 2007). Noise reduction strength was set to ''medium.…”

Section: Hearing Aidsmentioning

confidence: 99%

Using Trainable Hearing Aids to Examine Real-World Preferred Gain

Mueller¹,

Hornsby²,

Weber³

2008

J Am Acad Audiol

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Section: Hearing Aidsmentioning

confidence: 99%

Using Trainable Hearing Aids to Examine Real-World Preferred Gain

Mueller¹,

Hornsby²,

Weber³

2008

J Am Acad Audiol

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“…5 Hence, in order to treat transients in audio signals too, several hearing aid companies have developed dedicated transient noise reduction (TNR) algorithms. 6,7 Different studies with hearing aid users have yielded somewhat inconclusive outcomes regarding their effectiveness. 4,8-10 …”

Section: Introductionmentioning

confidence: 99%

Transient Noise Reduction in Cochlear Implant Users: A Multi-Band Approach

Dyballa

Hehrmann²,

Hamacher³

et al. 2016

Audiology Research

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A previously-tested transient noise reduction (TNR) algorithm for cochlear implant (CI) users was modified to detect and attenuate transients independently across multiple frequency-bands. Since speech and transient noise are often spectrally distinct, we hypothesized that benefits in speech intelligibility can be achieved over the earlier single-band design. Fifteen experienced CI users (49 to 72 years) were tested unilaterally using pre-processed stimuli delivered directly to a speech processor. Speech intelligibility in transient and soft stationary noise, subjective sound quality and the recognition of warning signals was investigated in three processing conditions: no TNR (TNRoff), single-band TNR (TNRsgl) and multi-band TNR (TNRmult). Notably, TNRmult improved speech reception thresholds (SRTs) in cafeteria noise and office noise by up to 3 dB over both TNRoff and TNRsgl, and yielded higher comfort and clarity ratings in cafeteria noise. Our results indicate that multi-band transient noise reduction may be advantageous compared to a single-band approach, and reveal a substantial overall potential for TNR to improve speech perception and listening comfort in CI users.

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“…Most studies that have examined the efficacy of TNR systems focused on subjective preference and/or objective speech recognition performance (e.g., Chalupper and Powers, 2007;Keidser et al, 2007;DiGiovanni et al, 2011;Liu et al, 2012). We speculated that such an algorithm may also be beneficial in other ways.…”

mentioning

confidence: 99%