Cover song identification
7 papers with code • 4 benchmarks • 0 datasets
Cover Song Identification is the task of identifying an alternative version of a previous musical piece, even though it may differ substantially in timbre, tempo, structure, and even fundamental aspects relating to the harmony and melody of the song. The term “cover” is so wide that it ranges from acoustic renditions of a previous song, to Jimi Hendrix’ famous (and radical) reinterpretation of Bob Dylan’s “All Along the Watchtower”, to Rage Against the Machine essentially rewriting Bob Dylan’s “Maggie’s Farm”. Beyond its value for computational musicology and for enhancing music recommendation, Cover Song Identification is of interest because of its potential for benchmarking other music similarity and retrieval algorithms. Chord analysis, melody extraction and music similarity are all strongly connected to Cover Song Identification - another field of music analysis where AI has been applied.
Most implemented papers
Learning a Representation for Cover Song Identification Using Convolutional Neural Network
We first train the network through classification strategies; the network is then used to extract music representation for cover song identification.
Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features
In this work, we investigate whether textual music information (such as metadata and lyrics) can be used along with audio for large-scale cover identification problem in a wide digital music library.
Accurate and Scalable Version Identification Using Musically-Motivated Embeddings
The version identification (VI) task deals with the automatic detection of recordings that correspond to the same underlying musical piece.
Towards Cover Song Detection with Siamese Convolutional Neural Networks
A cover song, by definition, is a new performance or recording of a previously recorded, commercially released song.
ByteCover: Cover Song Identification via Multi-Loss Training
We present in this paper ByteCover, which is a new feature learning method for cover song identification (CSI).
CoverHunter: 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.
A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-By-Humming Task
To expand our dataset, we employ a semi-supervised model training pipeline that leverages the QbH task as a specialized case of cover song identification (CSI) task.