In the world of signal processing, estimating parameters for complex signals is a formidable task, especially when dealing with multiple components. Traditional methods often hit a wall when the number of components grows, grappling with issues like
The world of music generation is evolving rapidly, thanks to advances in generative AI. However, the reliance of many neural-based models on large datasets has raised concerns about copyright infringement and high-performance costs. Enter MusicAIR, a
In the world of artificial intelligence, Large Language Models (LLMs) and Vision-Language Models (VLMs) have made significant strides in understanding and generating human language. However, their ability to comprehend and interpret musical notation
Creating synchronized audio-visual content has long been a formidable challenge in the realm of generative AI, particularly for open-source models. Researchers from various institutions have identified three core issues that hinder robust audio-video
The world of music technology is buzzing with the introduction of Duo-Tok, a novel dual-codebook tokenizer designed to tackle the persistent challenge of balancing reconstruction quality and language-model (LM) learnability in lyrics-to-song systems.
In the world of AI-generated music, we’re seeing some impressive strides forward. The latest research from Maral Ebrahimzadeh, Gilberto Bernardes, and Sebastian Stober is a prime example. They’ve tackled a tricky challenge: giving AI composers explic
Imagine a world where you can describe a melody, a mood, or a memory in plain language and have an AI generate the corresponding music. This isn’t a distant dream; it’s the reality of text-to-audio AI, and it’s reshaping how we create, interpret, and
Imagine unlocking the secrets of some of the universe’s tiniest building blocks, the pentaquarks, and discovering they behave in ways that could revolutionize our understanding of quantum physics. A recent study by Hao-Song Li has done just that, she
Imagine a world where artificial intelligence can seamlessly understand and generate music-related content with the nuance and depth of a seasoned music journalist or producer. This isn’t just a distant dream; it’s a reality that researchers are acti
In the ever-evolving landscape of music recommendation systems (MRS), a groundbreaking shift is underway, thanks to the advent of Large Language Models (LLMs). Traditional MRS have long been constrained by an information-retrieval framework, where su
