Piano Sustain Pedal Acoustic Feature Dataset (Pedal vs. No-Pedal Segments)

This dataset contains audio feature representations extracted from VST-based piano recordings in order to analyze the effect of sustain pedal usage. The dataset is composed of paired audio recording segments corresponding to pedal-on and pedal-off conditions derived from the same MIDI files.

The audio recordings are given into the Zip file called “Audio Files (Pedall-Pedalless Pairs)”.

10 MIDI files from Chopin’s Polonaise were used to create piano recordings taken from https://www.kunstderfuge.com/chopin.htm.

A total of 30,257 observations (rows) and 70 feature columns are included in the dataset. Each row represents a time-aligned audio segment extracted from piano recordings.

For every acoustic descriptor computed from the pedal condition, the corresponding feature extracted from the no-pedal condition is stored using the same column name with the suffix “.1”. This naming convention allows direct comparison between pedal and non-pedal acoustic characteristics.

The dataset contains multiple acoustic descriptors derived from time-domain and spectral-domain analyses commonly used in audio signal processing and music information retrieval.

This dataset is intended for research on:

• piano performance analysis

• sustain pedal detection

• acoustic feature comparison

• machine learning approaches for musical performance analysis