The effects of noise reduction on cognitive effort in normal-hearing and hearing-impaired listeners
Abstract
A common complaint of hearing-impaired listeners is dif culty understanding speech in the presence of noise. Digital hearing aids have opened the door to complex signal processing algorithms that attempt to improve the quality, ease of listening, and/or intelligibility of speech in noisy environments. In reality, however, hearing aid users show no intelligibility improvements from single-microphone noise reduction (NR) algorithms, even though they sometimes report that speech sounds easier to understand. A possible explanation for this dichotomy is that NR algorithms replace a function that the human auditory system would otherwise perform. This redundancy means that there is no improvement in intelligibility, but a reduction in listening effort, since fewer cognitive resources would be necessary. We investigated this hypothesis using a dual-task paradigm with normal-hearing and hearing-impaired listeners. They were asked to repeat sentences or words presented in noise while performing either a memory or a reaction-time task. Our results showed that degrading speech by reducing the signal-to-noise ratio increased demand for cognitive resources, demonstrated as a drop in performance in the cognitive task. Use of a NR algorithm mitigated some of the deleterious effects of noise by reducing cognitive effort and improving performance in the competing task.
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