In the ever-evolving landscape of audio processing and music technology, a novel approach has emerged that challenges the status quo of how we design and implement audio effects. Austin Rockman, a researcher at the University of California, Los Angel
In the realm of fetal monitoring, Cardiotocography (CTG) plays a pivotal role, yet its effectiveness is often hindered by various artefacts that can obscure the true fetal heart rate (FHR) patterns. These artefacts can lead to misdiagnosis or delayed
In a groundbreaking development, researchers have harnessed the power of large language models (LLMs) to enhance automatic chord recognition, a critical task in music information retrieval (MIR). This innovative approach leverages the reasoning capab
In a significant stride towards bolstering the security of automatic speaker verification systems, a team of researchers has developed a robust audio spoofing detection method that generalizes across various spoofing techniques. This breakthrough is
In a significant stride toward addressing the burgeoning challenges posed by AI-generated music, researchers Yumin Kim and Seonghyeon Go have developed a novel approach to detect AI-generated music (AIGM) through structural analysis of music segments
In the rapidly evolving landscape of digital audio processing, a groundbreaking open-source framework has emerged, poised to revolutionize how musicians and producers integrate neural audio models into their workflows. Dubbed the Neutone SDK, this in
In a groundbreaking advancement for music technology, researchers have developed a novel model capable of transcribing not just the notes of a violin performance, but also the playing techniques used to produce them. This innovation, known as VioPTT
In a significant stride towards preserving endangered languages, researchers have developed a novel machine learning framework that learns to understand speech without the need for manual annotations. This breakthrough, presented in the form of a Con
In a groundbreaking development for audio processing, researchers Chin-Yun Yu and György Fazekas have successfully emulated the behavior of an iconic analogue levelling amplifier using a digital compressor, optimized through the Newton-Raphson method
In a significant stride forward for audio processing technology, researchers have introduced AudioRWKV (A-RWKV), a novel architecture that promises to revolutionize audio pattern recognition by combining efficiency and stability in a way that previou
