Recent advancements in spoken dialogue models, exemplified by systems like GPT-4o,
have captured significant attention in the speech domain. Compared to traditional three-tier …

Recent advancements in multimodal large language models (MLLMs) have aimed to
integrate and interpret data across diverse modalities. However, the capacity of these …

As Artificial Intelligence (AI) technologies continue to evolve, their use in generating realistic,
contextually appropriate content has expanded into various domains. Music, an art form and …

Research in music understanding has extensively explored composition-level attributes
such as key, genre, and instrumentation through advanced representations, leading to cross …

We introduce Label-Combination Prototypical Networks (LC-Protonets) to address the
problem of multi-label few-shot classification, where a model must generalize to new classes …

Imagine a future where language is no longer a barrier to real-time conversations, enabling
instant and lifelike communication across the globe. As cultural boundaries blur, the demand …

By definition, traditional music is in a constant state of friction with innovation, exemplified by
resistance to 'outside'influences such as different instruments, different ways of learning, and …

This paper exploits the zero-shot capabilities of pre-trained large language models (LLMs)
for music genre classification. The proposed approach splits audio signals into 20 ms …

Music is inherently made up of complex structures, and representing them as graphs helps
to capture multiple levels of relationships. While music generation has been explored using …

Artificial Intelligence (AI) is a disruptive technology that is transforming many industries
including the music industry. Recently, the concept of Industry 5.0. has been proposed …