TapToTab: A Pitch-Labelled Guitar Dataset for Note Recognition

The limited availability of Guitar notes datasets hinders the training of any artificial intelligence model in this field. TaptoTab dataset aims to fill this gap by providing a collection of notes recordings. This dataset is collected as part of an honours project at the Faculty of Computer and Information Sciences, Ain Shams University. The dataset is composed of audio data that has been self-collected, focusing on capturing a comprehensive range of guitar notes. The dataset consists of recordings of guitar notes played on each of the six strings, covering up to the 12th fret. This ensures that a wide spectrum of notes is represented, catering to the most commonly used range in guitar playing. Furthermore, the dataset has a variation of clean and distorted note recordings with effects added to both.