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Found 5 papers, 3 papers with code
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).
Ranked #2 on
Cover song identification
on Da-TACOS
SIMILARITY LEARNING FOR COVER SONG IDENTIFICATION USING CROSS-SIMILARITY MATRICES OF MULTI-LEVEL DEEP SEQUENCES
One part is a network for learn- ing the deep sequence representation of music tracks, and the other is a similarity estimation network which takes as input the cross- similarity matrices calculated from the deep sequences of a pair of tracks.
Ranked #1 on
Cover song identification
on YouTube350
Exploring Inherent Properties of the Monophonic Melody of Songs
Unlike other components in music theory, such as harmony and counterpoint, computable features for melody is urgently in need.
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.
Ranked #3 on
Cover song identification
on YouTube350
Musical Instrument Playing Technique Detection Based on FCN: Using Chinese Bowed-Stringed Instrument as an Example
The effectiveness of the proposed framework is tested on a new dataset, its categorization of techniques is similar to our training dataset.
