Creating novel interpretations of existing musical compositions is and has always been an
essential part of musical practice. Before the advent of recorded music, listening to a piece of …

Cross-version music retrieval aims at identifying all versions of a given piece of music using
a short query audio fragment. One previous approach, which is particularly suited for …

Cover detection has gained sustained interest in the scientific community and has recently
made significant progress both in terms of scalability and accuracy. However, most …

Deep Learning (DL) has recently been applied successfully to the task of Cover Song
Identification (CSI). Meanwhile, neural networks that consider music signal data structure in …

A cover song, by definition, is a rendition of a previously released song and mapping these
cover songs to their original song is defined as” Cover Song Identification.” In this paper, we …

In recent years, Cover Song Identification (CSI) based on Siamese Network and music
representation learning has achieved good performance, however, there are still many …

Music is incorporated into our daily lives whether intentional or unintentional. It evokes
responses and behavior so much so there is an entire study dedicated to the psychology of …

Music making and listening practices increasingly rely on techno logy, and,
asaconsequence, techniquesdevelopedinmusicinformation retrieval (MIR) research are …

This dissertation aims at developing audio-based musical version identification (VI) systems
for industry-scale corpora. To employ such systems in industrial use cases, they must …

Ongoing digitization efforts lead to vast amounts of music data, eg, audio and video
recordings, symbolically encoded scores, or graphical sheet music. Accessing this data in a …