Autocorrelation models explain pitch and can separate concurrent vowel sounds differing in fundamental frequency

Evidence

Autocorrelation-based analysis has proven to be able to explain several phenomena of pitch perception (Plack et al., 2005). In addition, such models can be applied to segregate different sound sources, particularly to segregate concurrent vowel sounds from each other when the sounds differ in terms of the fundamental frequency (Meddis and Hewitt, 1992). — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1658

Categorization

• XREF: Connects to the reader’s soundscape/psychoacoustics reading — autocorrelation as the mechanism behind both pitch and source segregation (cocktail-party effect). — connects to: Pitch is a human synthesis keyed to autocorrelation, not pure physics; Pitch perception corresponds to peaks in the autocorrelation function — Eric J. Heller, Why You Hear What You Hear- An…, 2033; Autocorrelation predicts perceived pitch of non-harmonic partial groups (+5 more)
• corroborated: 4 independent passages support this claim — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1658