Influence of multi-microphone signal enhancement algorithms on auditory movement detection in acoustically complex situations

The influence of hearing aid (HA) signal processing on the perception of spatially dynamic sounds has not been systematically investigated so far. Previously, we observed that interfering sounds impaired the detectability of left-right source movements and reverberation that of near-far source movements for elderly hearing-impaired (EHI) listeners (Lundbeck et al., 2017). Here, we explored potential ways of improving these deficits with HAs. To that end, we carried out acoustic analyses to examine the impact of two beamforming algorithms and a binaural coherence-based noise reduction scheme on the cues underlying movement perception. While binaural cues remained mostly unchanged, there were greater monaural spectral changes and increases in signal-to-noise ratio and direct-to-reverberant sound ratio as a result of the applied processing. Based on these findings, we conducted a listening test with 20 EHI listeners. That is, we performed aided measurements of movement detectability in two acoustic scenarios. For both movement dimensions, we found that the applied processing could partly restore source movement detection in the presence of reverberation and interfering sounds.