Predictions of Psychoacoustic Data by Using a Unified Monaural and Binaural Perception Model
* Presenting author
Abstract:
Auditory perception involves the monaural auditory pathway and monaural perceptual cues as well as binaural interaction (BI) cues based on differences between left and right ears. So far auditory models have often focused on either monaural or binaural experiments in isolation. Although binaural models typically build upon stages of (existing) monaural models, only a few attempts have been made to extend a monaural model by a binaural stage using a unified decision stage for monaural and binaural cues. Such approaches often employs the equalization-cancelation-mechanism to mimic BI, which either involves signal-adaptive delays and provides a single channel output or can be implemented with tapped delays providing a high-dimensional multichannel output.This contribution extends the (monaural) generalized envelope power spectrum model by a non-adaptive BI stage with only a few, fixed output channels. The BI stage resembles features of physiologically motivated hemispheric BI, as simplified signal processing stages, yielding a 5-channel monaural and binaural matrix feature decoder. The back end of the existing monaural model is applied to the 5-channel output and calculates envelope power and power features in different time frames. The model is evaluated and discussed for a baseline database of psychoacoustic experiments from the literature.