In the rapidly evolving world of artificial intelligence, the quest for models that are both powerful and efficient is never-ending. Enter LFM2, a family of Liquid Foundation Models that are designed to strike a balance between these two seemingly co
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
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
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
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 ever-evolving landscape of audio technology, researchers are constantly pushing the boundaries of what’s possible. A recent study by Jorge Ortigoso-Narro, Jose A. Belloch, Maximo Morales-Cespedes, and Maximo Cobos has shed new light on the pot
In a groundbreaking stride towards democratizing music education, researchers Pedro Ramoneda, Emilia Parada-Cabaleiro, Dasaem Jeong, and Xavier Serra have introduced a transformer-based method for adjusting the difficulty of piano scores in MusicXML
In the realm of dynamic-scene applications, the precise alignment of multi-view video streams is a cornerstone for tasks such as 3D reconstruction, pose estimation, and scene understanding. However, achieving this synchronization, especially in heter
In the rapidly evolving landscape of mental health support, a groundbreaking system named Tell Me has emerged, harnessing the power of large language models to offer accessible, context-aware assistance. Developed by Trishala Jayesh Ahalpara, Tell Me
In the rapidly evolving landscape of artificial intelligence, Large Audio-Language Models (LALMs) have made significant strides in various domains such as speech recognition, audio captioning, and auditory question answering. However, a recent study
