TapToTab : Video-Based Guitar Tabs Generation using AI and Audio Analysis
Abstract
The automation of guitar tablature generation from video inputs holds significant promise for enhancing music education, transcription accuracy, and performance analysis. Existing methods face challenges with consistency and completeness, particularly in detecting fretboards and accurately identifying notes. To address these issues, this paper introduces an advanced approach leveraging deep learning, specifically YOLO models for real-time fretboard detection, and Fourier Transform-based audio analysis for precise note identification. Experimental results demonstrate substantial improvements in detection accuracy and robustness compared to traditional techniques. This paper outlines the development, implementation, and evaluation of these methodologies, aiming to revolutionize guitar instruction by automating the creation of guitar tabs from video recordings.
Cite
@article{arxiv.2409.08618,
title = {TapToTab : Video-Based Guitar Tabs Generation using AI and Audio Analysis},
author = {Ali Ghaleb and Eslam ElSadawy and Ihab Essam and Mohamed Abdelhakim and Seif-Eldin Zaki and Natalie Fahim and Razan Bayoumi and Hanan Hindy},
journal= {arXiv preprint arXiv:2409.08618},
year = {2024}
}