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ndarualfian/supplementary-materials-alfian2026

This repository contains the supplementary materials for the paper: “Machine Learning Framework for Speech Intelligibility Prediction using Binaural Room Impulse Responses” (Alfian et al., 2026)

Welcome!

This repository contains the supplementary materials for the paper:
“Machine Learning Framework for Speech Intelligibility Prediction using Binaural Room Impulse Responses” (Alfian et al., 2026)

It provides the following resources:

  1. Supplementary documents containing additional tables, figures, and details of the dataset acquisition process.
  2. BRIR dataset, consisting of 370 BRIRs High Intelligibility Class, 370 BRIRs Low Intelligibility Class, and 6 Binaural Recordings for calibration.
  3. Python source code for developing and evaluating the machine learning model.

All materials in this repository are open-source.
If you use any of these resources, please cite the paper (Alfian et al., 2026).

Thank you, and enjoy exploring the dataset and code!

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Jupyter Notebook100.0%

Contributors

Created November 27, 2025
Updated January 15, 2026
ndarualfian/supplementary-materials-alfian2026 | GitHunt