Qualitative pitch mirrors the qualitative nature of autocorrelation peaks

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 (#expands, via linked claim)

When we listen to a note played on a musical instrument and we perceive it as having a clear unambiguous musical pitch, this is because that instrument produces an acoustic pressure wave which repeats regularly. … Each section that repeats is known as a “cycle” and the time for which each cycle lasts is known as the “fundamental period” or “period” of the waveform. The number of cycles which occur in one second gives the fundamental frequency of the note in hertz (or Hz). The fundamental frequency is often notated as “f0”, pronounced “F zero” or “F nought”, a practice which will be used throughout the rest of this book. — David Howard, Jamie Angus, coustics and Psychoacoustics, 774 (#contradicts, via linked claim)

Categorization

• XREF: 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 (+7 more)

Related

• The auditory system performs pitch analysis as autocorrelation per sub-band, summed into a correlogram. (similarity 0.93)
• Pitch perception corresponds to peaks in the autocorrelation function (similarity 0.92)
• Pitch is a human synthesis keyed to autocorrelation, not pure physics (similarity 0.92)
• Autocorrelation predicts perceived pitch of non-harmonic partial groups (similarity 0.90)
• Listeners reconstruct a perceived pitch that is not physically present (similarity 0.90)
• Autocorrelation predicts pitch yet met lukewarm reception (similarity 0.88)
• Perceived pitch is set primarily by fundamental frequency. (similarity 0.88)
• Autocorrelation models explain pitch and can separate concurrent vowel sounds differing in fundamental frequency (similarity 0.88)
• Clear pitch perception depends on periodic repetition of the pressure wave (similarity 0.86)
• Perceived musical pitch arises from regularly repeating acoustic pressure waves. (similarity 0.86)
• Pitch perception can be modeled by autocorrelation across auditory filter bands (similarity 0.85)
• Unambiguous pitch perception requires a periodically repeating acoustic waveform (similarity 0.85)
• Periodicity in the acoustic waveform determines whether a sound is perceived as pitched. (similarity 0.85)
• Pitch resolution exceeds smeared bandwidth via peak-locating algorithms (similarity 0.85)
• Higher partials dominate pitch because their sharper autocorrelation peaks win (similarity 0.84)

Broader Connections

• The auditory system performs pitch analysis as autocorrelation per sub-band, summed into a correlogram. #expands (0.88)
• Autocorrelation models explain pitch and can separate concurrent vowel sounds differing in fundamental frequency #expands (0.78) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1658
• Clear pitch perception depends on periodic repetition of the pressure wave #contradicts (0.75) — David Howard, Jamie Angus, coustics and Psychoacoustics, 774
• No neural evidence supports autocorrelation models of pitch at the brainstem #complicates (0.72) — Dijk, Pim van, Physiology, Psychoacoustics and…, 4494