[Paper Review] Methods for Pitch Analysis in Contemporary Popular Music: Multiphonic Tones Across Genres

Emmanuel Deruty, David Meredith+4 more|arXiv (Cornell University)|Feb 20, 2026

Neuroscience and Music Perception0 citations

TL;DR

This study shows that electronic tones in contemporary popular music (e.g., 808 bass, power chords) are structurally and perceptually equivalent to multiphonics in contemporary classical music, eliciting listener-dependent pitch percepts.

ABSTRACT

This study argues that electronic tones routinely used in contemporary popular music - including 808-style bass and power chords - are structurally and perceptually equivalent to multiphonics in contemporary classical music. Using listening tests (n=10) and signal analysis, we show that both types of tones elicit multiple, listener-dependent pitch percepts arising from similar spectral and temporal features. These findings suggest that pitch ambiguity is not confined to experimental classical contexts but is also a feature of mainstream music production.

Motivation & Objective

• Motivate and justify applying multiphonics concepts from contemporary classical music to contemporary popular music tones.
• Demonstrate structural and perceptual equivalence between electronic tones and multiphonics.
• Compare human pitch perception with monophonic pitch trackers on isolated tones from both genres.
• Include Western contemporary classical material alongside electronic tones to broaden the scope of pitch analysis.
• Highlight implications for Music Information Retrieval practices that assume a single pitch per harmonic complex tone.

Proposed method

• Use listening tests with musically trained listeners (n=10) where participants match perceived pitches to a piano.
• Analyze single-tone samples (isolated tones) spanning quasi-harmonic, inharmonic, and specified versus unspecified pitch targets.
• Perform signal analysis incorporating spectral and temporal modeling to infer possible pitch associations (f0, upper partials, octave transpositions).
• Apply psychoacoustic weighting via equal-loudness contours (ISO226:2023 50-phon) to weight spectral components.
• Compare human pitch-perception outputs with monophonic pitch trackers (CREPE, PESTO) to assess convergence/divergence.
• Include input from electronic musician Vitalic and Hyper Music production to validate producer perspectives.

Figure 1: Cello tone, F2 on the C string, weighted audio. Power spectrum. The dot’s size reflects the energy. The x-axis shows multiples of the $f_{0}$ .

Experimental results

Research questions

• RQ1 Do electronic tones used in popular music elicit multiple listener-perceived pitches like classical multiphonics?
• RQ2 How do spectral/temporal features relate to the perceived pitch sets across quasi-harmonic and inharmonic tones?
• RQ3 To what extent do monophonic pitch trackers align with human perceptual responses for these tones?
• RQ4 Are there cross-genre consistencies in how pitches are perceived from isolated tones versus sequences?
• RQ5 What are the implications for Music Information Retrieval assuming a single pitch per tone?

Key findings

• Electronic tones in popular music elicit multiple listener-perceived pitches, comparable in number to multiphonics observed in contemporary classical tones.
• Perceived pitches are generally harmonically related and often derive from subsets of salient partials, even for tones that are inharmonic.
• Tones intended to convey a single pitch still produce a weaker but similar multiphonic perception, suggesting a perceptual continuum rather than a strict dichotomy.
• Monophonic pitch trackers (CREPE, PESTO) frequently predict pitches corresponding to partials and show octave jumps, indicating the trackers reflect underlying spectral/temporal structure rather than failure alone.
• The study shows cross-genre applicability of multiphonics concepts and supports rethinking pitch representation in Music Information Retrieval for harmonic tones.
• Producer perspectives corroborate the relevance of multiphonic perception in mainstream production.

Figure 2: Cello tone, F2 on the C string, listening test results. In white, pitches for which $d=0$ ; in green, $d=1$ ; in orange, $d=2$ ; in red, no association with the signal. The same protocol will be used in the subsequent figures. The bar graph to the left of the pitch-tracker results compiles