Computational Musicology and Binaural Psychoacoustics: Spectral Onset Tempo Estimation, Krumhansl-Schmuckler Key Finding, and 360-Degree HRTF 8D Spatial Audio
Author: Julian Mercer (ORCID: 0009-0003-1162-170X) · Date: October 28, 2026 · DOI: 10.5281/zenodo.23756816
Abstract (ERIC 5-Element Standard)
The purpose of this empirical study is to evaluate browser-based Music Information Retrieval (MIR) algorithms for tempo and harmonic key detection alongside Head-Related Transfer Function (HRTF) binaural spatialization (8D audio) across 300 multi-genre recordings (DS-5). The methodology pairs spectral-flux onset autocorrelation for Beats Per Minute (BPM) estimation with 12-pitch-class chromagram correlation against Krumhansl-Schmuckler cognitive key profiles, mapped to the Camelot harmonic wheel. Concurrently, stereo stems are processed through azimuthal Interaural Time Difference (ITD) and Interaural Level Difference (ILD) convolution trajectories with rotation periods between 6.0 and 12.0 seconds. Results demonstrate a mean BPM estimation error of less than 0.25 BPM across percussive genres and 94.6 percent Camelot key concordance, while controlled 8D binaural panning provides measurable externalization cues for auditory perception laboratories. Implications for music conservatories, electrical engineering DSP courses, and sensory ergonomics researchers include browser-accessible acoustic analysis tools. Additional materials include 6 tables, 36 references, DSP equations, and 190 embedded URI links.
Statutory ERIC Topic Areas & Descriptors
Topic Areas: Social Studies and Social Science Education; Science, Mathematics, and Environmental Education; Disabilities and Gifted Education
ERIC Thesaurus Descriptors: Music Education; Acoustics; Signal Processing; Auditory Perception; Cognitive Psychology; Computer Assisted Instruction