In the ever-evolving landscape of music information retrieval (MIR), the task of beat and downbeat tracking, collectively known as meter tracking, has seen significant advancements, particularly for Western music genres. Deep learning models have lar
In the realm of acoustic metamaterials, a recent study has shed light on a phenomenon known as Willis coupling, an acoustic analogy to electromagnetic bi-anisotropy. The research, conducted by Philip A Cotterill, David Nigro, and William J. Parnell,
In the realm of audio classification, the quest for efficient neural network training on small datasets is a significant challenge. A recent study by Jordi Pons, Joan Serrà, and Xavier Serra from the Music Technology Group at Universitat Pompeu Fabra
In a significant stride towards early detection of cardiovascular diseases (CVDs), researchers have developed a novel approach that combines traditional signal processing with advanced deep learning techniques. Cardiovascular diseases are the leading
In a groundbreaking development, researchers have extended the principles of effective medium theory (EMT) to encompass time-modulated, frequency-dispersive acoustic metamaterials with multiple resonances, opening new avenues for innovative acoustic
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 groundbreaking development, researchers have introduced Differentiable Acoustic Radiance Transfer (DART), a novel approach to room acoustics modeling that promises to revolutionize the way we understand and manipulate sound in enclosed spaces. T
In an era where music consumption is increasingly mobile and streaming-driven, the landscape of consumer audio is evolving rapidly, presenting both challenges and opportunities for signal processing technologies. Researchers Joshua Atkins and Daniele
In a groundbreaking development, researchers have unveiled a novel approach to designing anisotropic acoustic metamaterials, promising significant advancements in directional sound control and wave guiding. This innovation, spearheaded by Mohamed She
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
