5 papers
Assessing Algorithmic Biases for Musical Version Identification
Furkan Yesiler, Marius Miron, Joan Serrà +1
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 indu…
Audio-based Musical Version Identification: Elements and Challenges
Furkan Yesiler, Guillaume Doras, Rachel M. Bittner +2
In this article, we aim to provide a review of the key ideas and approaches proposed in 20 years of scientific literature around musical version identification (VI) research and co…
Investigating the efficacy of music version retrieval systems for setlist identification
Furkan Yesiler, Emilio Molina, Joan Serrà +1
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 event…
Less is more: Faster and better music version identification with embedding distillation
Furkan Yesiler, Joan Serrà, Emilia Gómez
Version identification systems aim to detect different renditions of the same underlying musical composition (loosely called cover songs). By learning to encode entire recordings i…
Accurate and Scalable Version Identification Using Musically-Motivated Embeddings
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. Despite many efforts, VI is still an ope…