no code implementations • 14 Dec 2023 • Julian D. Parker, Janne Spijkervet, Katerina Kosta, Furkan Yesiler, Boris Kuznetsov, Ju-Chiang Wang, Matt Avent, Jitong Chen, Duc Le
End-to-end generation of musical audio using deep learning techniques has seen an explosion of activity recently.
no code implementations • 30 Sep 2021 • Furkan Yesiler, Marius Miron, Joan Serrà, Emilia Gómez
Version identification (VI) systems now offer accurate and scalable solutions for detecting different renditions of a musical composition, allowing the use of these systems in industrial applications and throughout the wider music ecosystem.
no code implementations • 6 Jan 2021 • Furkan Yesiler, Emilio Molina, Joan Serrà, Emilia Gómez
The setlist identification (SLI) task addresses a music recognition use case where the goal is to retrieve the metadata and timestamps for all the tracks played in live music events.
1 code implementation • 7 Oct 2020 • Furkan Yesiler, Joan Serrà, Emilia Gómez
Version identification systems aim to detect different renditions of the same underlying musical composition (loosely called cover songs).
1 code implementation • 28 Oct 2019 • Furkan Yesiler, Joan Serrà, Emilia Gómez
The version identification (VI) task deals with the automatic detection of recordings that correspond to the same underlying musical piece.
Ranked #4 on Cover song identification on YouTube350