This survey paper provides a comprehensive overview of the recent advancements and
challenges in applying large language models to the field of audio signal processing. Audio …

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 …

Generating music from text descriptions is a user-friendly mode since the text is a relatively
easy interface for user engagement. While some approaches utilize texts to control music …

While Large Language Models (LLMs) demonstrate impressive capabilities in text
generation, we find that their ability has yet to be generalized to music, humanity's creative …

We introduce CLaMP: Contrastive Language-Music Pre-training, which learns cross-modal
representations between natural language and symbolic music using a music encoder and …

In this paper, we explore the application of Large Language Models (LLMs) to the pre-
training of music. While the prevalent use of MIDI in music modeling is well-established, our …

Large language models (LLMs) have shown exciting potential in powering the growth of
many industries, yet their adoption in the power electronics (PE) sector is hindered by a lack …

Music plays a vital role in human culture and society, serving as a universal form of
expression. However, accurately classifying music emotions remains challenging due to the …

Instruction tuning large language models are making rapid advances in the field of artificial
intelligence where GPT-4 models have exhibited impressive multi-modal perception …

Recent years have seen many audio-domain text-to-music generation models that rely on
large amounts of text-audio pairs for training. However, symbolic-domain controllable music …