Sound Signature Detection by Probability Density Function of Normalized Amplitudes

Year: 2019 Authors: Ion Bica; Zhichun Zhai; Rui Hu; Mickey H. Melnyk

Core claim

Normalized amplitude density estimates can distinguish more uniform composers’ styles from more variable ones, with Bach and Beethoven appearing more distinctive than Schubert.

Topics

sound signature detection, classical music analysis, kernel density estimation, audio signal processing

Domains

probability density estimation, kernel methods, confidence intervals, Fourier analysis, music, musicology, performance analysis

Methods

PDFNA, kernel density estimator, FFT, WAV audio analysis

Media

WAV files, piano recordings, violin recording, solo instrumental pieces

Source status

This page publishes metadata and extracted analytical signals only. Raw PDF and full OCR text are kept local for now.