This engineering brief introduces a dataset of electric guitar sounds. The main goal of the dataset is to provide a set of electric guitar recordings that can be used for research in identification and/or classification of different electric guitar types. The dataset, at its current stage, consists of recordings from 30 guitars of different manufacturers and types, with around 3500 music events. All audio files are acquired in one-channel, 16-bit waveform audio file format with a sampling rate of 44100 Hz and are accompanied by parameter annotations in xml format. The dataset is planned to include recordings of over 50 guitars and will be released in uncompressed wav file format under Creative Commons License.

Authors: Profeta, Renato; Schuller, Gerald
Affiliations: Ilmenau University of Technology, Ilmenau, Germany; Fraunhofer Institute for Digital Media technology (IDMT), Ilmenau, Germany(See document for exact affiliation information.)
AES Convention: 144 (May 2018) eBrief:436
Publication Date: May 14, 2018
Subject: e-Brief Posters—2

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