Publications-ppc
Song Describer: a Platform for Collecting Textual Descriptions of Music Recordings
Authors
Ilaria Manco, Benno Weck, Philip Tovstogan, Minz Won, Dmitry Bogdanov
UPF authors
Type
Conference proceedings
Book Authors
AA. VVV.
Book title
Proceedings 23rd International Society for Music Information Retrieval Conference (ISMIR 2022)
Publisher
ISMIR
Publication year
2022
Pages
1-4
ISBN
978-1-7327299-2-6
Abstract
We present Song Describer, an open-source data annotation platform for crowdsourcing textual descriptions of music recordings. Through this tool, we propose to collect annotations with the goal of creating the first public dataset of audio-caption pairs in the music domain. We believe that such a dataset will be useful in supporting the growing interest in the integration of natural language processing within music information retrieval systems. In this paper, we describe our approach to designing Song Describer, outline the data collection protocol, and illustrate the main steps involved in using the platform.
Complete citation
Ilaria Manco, Benno Weck, Philip Tovstogan, Minz Won, Dmitry Bogdanov. Song Describer: a Platform for Collecting Textual Descriptions of Music Recordings. In: AA. VVV.. Proceedings 23rd International Society for Music Information Retrieval Conference (ISMIR 2022). 1 ed. Bengaluru: ISMIR; 2022. p. 1-4.
