Three different non-linear digital signal processing algorithms were develo
ped: LinEar, DynEar and RangeEar. All three provided individual frequency s
haping via a seven-band low-power filterbank and compression in two channel
s. RangeEar and DynEar used wide dynamic range syllabic compression in the
low-frequency (LF) channel, while LinEar used compression limiting. in the
high frequency (HF) channel. RangeEar used a slow-acting automatic volume c
ontrol, while DynEar and LinEar used compression limiting. Wearable digital
signal processing-based experimental instruments were used to evaluate the
fitting algorithms under real world conditions with experienced hearing ai
d users. Evaluation included laboratory testing of speech recognition in no
ise and questionnaires on sound quality ratings. Results did not indicate o
ne general good-fur-all algorithm, but different algorithms resulting in pr
eference and performance depending on the hearing loss configuration. Prefe
rence for any of the new algorithms could be predicted based on auditory dy
namic range measurements. It was hypothesized that the different preference
s were affected by different susceptibility to masking of HF sounds by ampl
ified LF sounds.