Energy-based models of modulation filterbanks fail to predict interferer effects on detection

Evidence

Although this model predicted the trend for the 800-Hz target the effect was too small. For the 730-Hz target, no effect was predicted, in contrast to the data. Thus this energy-based AC model was unable to predict the effect of the interferer on the diotic thresholds. The second model assumed that modulation cues with frequencies adjacent to the beating frequency between interferer and masker could not be used for signal detection. This was realised in the modulation-based AC model by setting the output of the corresponding modulation filters to zero. This approach predicted general trends of the diotic data of the present study. Among others it predicted a larger effect of the interferer for the 800-Hz signal than for the 730-Hz target, in agreement with the data. — Dijk, Pim van, Physiology, Psychoacoustics and…, 3494

Categorization

• XREF: Relates to the modulation filterbank literature on comodulation masking release (CMR) by Piechowiak et al. — connects to: Intrinsic noise amplitude fluctuation masks detection of imposed amplitude modulation; Narrow-band noise self-modulation masks external amplitude modulation — Professor Dr.-Ing. Hugo Fastl, Professor Dr.-Ing. Eberhard, Psychoacoustics- Facts and Models, 3302; A modulation filter bank may explain source grouping but remains unproven (+4 more)
• corroborated: 2 independent passages support this claim — Dijk, Pim van, Physiology, Psychoacoustics and…, 3494

Broader Connections

• The envelope of each auditory filter output is processed by a modulation filterbank #corroborates (0.75)