In the world of music education, the promise of artificial intelligence (AI) is vast, yet its potential is often stifled by proprietary systems that create barriers to entry. One area where AI could make a significant impact is in adjusting the diffi
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
Large language models (LLMs) have shown remarkable ability to tackle complex problems, yet they often stumble on simpler variants of the same tasks. This paradox suggests that LLMs achieve correct outputs through mechanisms fundamentally different fr
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
In the rapidly evolving landscape of AI-generated audio, the line between genuine and fabricated sound is blurring at an alarming rate. This technological advancement, while impressive, brings with it a host of security challenges, from misinformatio
The world of spoken dialogue systems (SDS) is evolving, and a new player has stepped onto the stage, quite literally. Researchers have introduced SingingSDS, a system that breaks the mold by responding through singing rather than speaking. This innov
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
Depression is a widespread mental health disorder, and recent advancements in AI are offering new ways to detect and assess it. Researchers have been leveraging multi-modal data—such as speech, video, and transcripts—to develop AI-assisted depression
In the ever-evolving world of music production, the ability to extract individual elements from a mixed audio track is a game-changer. It allows for greater flexibility, creativity, and precision in the production process. However, the task is not wi
In the world of film post-production, AR/VR, and sound design, the ability to generate audio from video is becoming increasingly important. This process, known as video-to-audio generation (V2A), is particularly crucial for creating Foley sound effec
