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This paper presents a biologically-inspired algorithm that models any potential hearing loss given by binaural audiograms. It is used as a pre-processor for audio signals, enabling an otologically normal person, i.e. a person with normal hearing, to perceive sounds, music, or speech similar to a person with a sensorineural hearing loss (SNHL), given by the respective auditory threshold function or audiogram. The pre-processing engine is used as a start-up to create virtual ‘test persons’ or virtual hearing-impaired (HI) listeners for initial field tests to improve the quality of hearing in modern digital hearing-aids (DHA). After a newly developed DSP algorithms for a DHA shows significant improvement in specific sound perception with the VHL, this algorithm will be tested by hearing-impaired persons. This paper also presents a set of prototype results employing the VHL in masking tests to detect auditory threshold functions in the Freiburg Number Test.
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