In recent years, foundation models (FMs) such as large language models (LLMs) and latent
diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This …

As one of the most intuitive interfaces known to humans, natural language has the potential
to mediate many tasks that involve human-computer interaction, especially in application …

Coronavirus has an impact on millions of lives and has been added to the important
pandemics that continue to affect with its variants. Since it is transmitted through the …

Towards improving the performance in various music information processing tasks, recent
studies exploit different modalities able to capture diverse aspects of music. Such modalities …

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 …

Today, music creation software and hardware are central to the workflow of most
professional composers, producers, and songwriters. Music is an aural art form, but it is …

Cross-modal retrieval learns the relationship between the two types of data in a common
space so that an input from one modality can retrieve data from a different modality. We …

The analysis of recorded audio material using computational methods has received
increased attention in ethnomusicological research. We present a curated dataset of …

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 …

Audio-visual tracks in video contain rich semantic information with potential in many
applications and research. Since the audio-visual data have inconsistent distributions and …