Interspeech 2026: Audio-Based Understanding of Audiobook Narration Appeal

Supplementary materials for the paper "Audio-Based Understanding of Audiobook Narration Appeal", accepted to Interspeech 2026.

Authors: Shahar Elisha, Mariano Beguerisse-Díaz, Emmanouil Benetos

Contents

This repository contains the following files, all referenced in the paper:

• supplementary_materials.pdf — Supplementary figures and tables referenced in the paper.
• dataset.csv — The dataset of audiobooks used in the study. The CSV contains metadata derived from LibriVox (public domain) and the Internet Archive.
• aggregate_egemaps.py — eGeMAPS low-level descriptors to functional set aggregation across audio chunks.