Cover song identification
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Benchmarks
Most implemented
Learning a Representation for Cover Song Identification Using Convolutional Neural Network
A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-By-Humming Task
CoverHunter: Cover Song Identification with Refined Attention and Alignments
ByteCover: Cover Song Identification via Multi-Loss Training
Towards Cover Song Detection with Siamese Convolutional Neural Networks
Papers
On the Robustness of Cover Version Identification Models: A Study Using Cover Versions from YouTube
Recent advances in cover song identification have shown great success. However, models are usually tested on a fixed set of datasets which are relying on the online cover song database SecondHandSongs. It is unclear how …
Cover song identificationLeveraging User-Generated Metadata of Online Videos for Cover Song Identification
YouTube is a rich source of cover songs. Since the platform itself is organized in terms of videos rather than songs, the retrieval of covers is not trivial. The field of cover song identification addresses this problem …
Cover song identificationEntity ResolutionRetrievalA Semi-Supervised Deep Learning Approach to Dataset Collection for Query-By-Humming Task
Query-by-Humming (QbH) is a task that involves finding the most relevant song based on a hummed or sung fragment. Despite recent successful commercial solutions, implementing QbH systems remains challenging due to the la…
Cover song identificationDisCover: Disentangled Music Representation Learning for Cover Song Identification
In the field of music information retrieval (MIR), cover song identification (CSI) is a challenging task that aims to identify cover versions of a query song from a massive collection. Existing works still suffer from hi…
BlockingCover song identificationDisentanglementInformation Retrieval+2CoverHunter: Cover Song Identification with Refined Attention and Alignments
Abstract: Cover song identification (CSI) focuses on finding the same music with different versions in reference anchors given a query track. In this paper, we propose a novel system named CoverHunter that overcomes the …
Cover song identificationByteCover3: Accurate Cover Song Identification on Short Queries
Deep learning based methods have become a paradigm for cover song identification (CSI) in recent years, where the ByteCover systems have achieved state-of-the-art results on all the mainstream datasets of CSI. However, w…
Cover song identificationRetrieval