Thoughts on the potential to compensate a hearing loss in noise
This addresses the issue of limited hearing aid benefit in noise for users with hearing impairment, though it appears incremental as it builds on existing models and a patented scheme.
The paper tackles the problem of compensating for class D hearing loss, which limits hearing aid effectiveness in noisy environments, by proposing a dynamic range manipulation scheme (PLATT) that expands spectral modulation patterns; an objective evaluation suggests it might compensate for more than half of the class D loss due to increased level uncertainty.
The effect of hearing impairment on speech perception was described by Plomp (1978) as a sum of a loss of class A, due to signal attenuation, and a loss of class D, due to signal distortion. While a loss of class A can be compensated by linear amplification, a loss of class D, which severely limits the benefit of hearing aids in noisy listening conditions, cannot. Not few users of hearing aids keep complaining about the limited benefit of their devices in noisy environments. Recently, in an approach to model human speech recognition by means of a re-purposed automatic speech recognition system, the loss of class D was explained by introducing a level uncertainty which reduces the individual accuracy of spectro-temporal signal levels. Based on this finding, an implementation of a patented dynamic range manipulation scheme (PLATT) is proposed, which aims to mitigate the effect of increased level uncertainty on speech recognition in noise by expanding spectral modulation patterns in the range of 2 to 4 ERB. An objective evaluation of the benefit in speech recognition thresholds in noise using an ASR-based speech recognition model suggests that more than half of the class D loss due to an increased level uncertainty might be compensable.