Recently, ChatGPT, along with DALL-E-2 and Codex, has been gaining significant attention
from society. As a result, many individuals have become interested in related resources and …

Recently, Artificial Intelligence Generated Content (AIGC) has gained significant attention
from society, especially with the rise of Generative AI (GAI) techniques such as ChatGPT …

Music tagging and content-based retrieval systems have traditionally been constructed
using pre-defined ontologies covering a rigid set of music attributes or text queries. This …

In the era of extensive intersection between art and Artificial Intelligence (AI), such as image
generation and fiction co-creation, AI for music remains relatively nascent, particularly in …

We introduce the Song Describer dataset (SDD), a new crowdsourced corpus of high-quality
audio-caption pairs, designed for the evaluation of music-and-language models. The …

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 …

In this work, we provide a broad comparative analysis of strategies for pre-training audio
understanding models for several tasks in the music domain, including labelling of genre …

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 …

In this work, we define a diffusion-based generative model capable of both music synthesis
and source separation by learning the score of the joint probability density of sources …

This paper introduces effective design choices for text-to-music retrieval systems. An ideal
text-based retrieval system would support various input queries such as pre-defined tags …