AI Enhanced Sonification of 3D Datasets for Improved Accessibility and Insight Using Python Based Data Processing and Visualization Libraries

Nakul Kamatkar , Chinmay Kamble , Nikita Patil

Data sonification, 3D datasets, point cloud, machine learning, spatial audio, accessibility, auditory display, feature extraction, interactive visualization

Data sonification, the translation of data into sound, offers a complementary modality to visual representation, especially for complex multidimensional datasets. This paper introduces Sonific, an AI enhanced pipeline designed to sonify three dimensional datasets, such as point clouds, by combining machine learning–based feature extraction with spatial audio rendering. Unlike prior methods relying on raw data or bespoke mappings, Sonific automatically identifies salient structures clusters, surfaces, and anomalies and maps them to distinct auditory cues in a 3D soundscape. Our prototype demonstrates improved perceptual differentiation of shapes and spatial features compared to raw sonification approaches. The system fosters accessibility for visually impaired users, supports scientific data analysis, and opens new pathways for interactive multimodal data exploration. We discuss implementation details, prototype evaluation, and potential applications in scientific research, education, assistive technology, and creative domains.

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"AI Enhanced Sonification of 3D Datasets for Improved Accessibility and Insight Using Python Based Data Processing and Visualization Libraries", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 9, page no.a645-a651, September-2025, Available :https://ijsdr.org/papers/IJSDR2509078.pdf

Volume 10 Issue 9, September-2025

Pages : a645-a651

Paper Reg. ID: IJSDR_304934

Published Paper Id: IJSDR2509078

Downloads: 000151

Research Area: Science and Technology

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2509078

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2509078

DOI: https://doi.org/10.56975/ijsdr.v10i9.304934

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition