AES E-Library

Introducing a Dataset of Guitar Sounds for Electric Guitars Model Recognition

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.

 

Author (s):
Affiliation: (See document for exact affiliation information.)
AES Convention: Paper Number:
Publication Date:
Session subject:
Permalink: https://aes2.org/publications/elibrary-page/?id=19549


(667KB)


Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.

Type:
E-Libary location:
16938
Choose your country of residence from this list:










Skip to content