Pitch perception can be modeled by autocorrelation across auditory filter bands

Evidence

Figure 13.11 shows the general concept for autocorrelation-based pitch analysis. The signals originating from the filter bank are first processed by a hair-cell model consisting of a half-wave rectifier and a subsequent low-pass filter. A separate autocorrelation function (ACF) is then computed for each signal in order to detect the periodicities in the different sub-bands. The ACF presentation is often called a correlogram. Thereafter, the separate ACFs are summed to obtain the summary autocorrelation function, characterizing the periodicities in the original stimulus. — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1654

Categorization

• DEFINE: Defines the correlogram and summary autocorrelation, concrete terms in pitch modeling.
• corroborated: 2 independent passages support this claim — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1654
• XREF: connects to: Pitch perception is explained by two competing physiological models of the inner ear — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 892