In the ever-evolving landscape of music technology, Federico Simonetta, a researcher at the forefront of Music Information Processing (MIP), has been making waves with his groundbreaking work on automatic music resynthesis. His thesis, “Music Interpr
In the ever-evolving landscape of music technology, researchers are continually pushing the boundaries of what’s possible, and a recent study by Xinyu Li is no exception. Li has developed HouseX, a fine-grained house music dataset that promises to br
In the realm of dementia care, music has long been recognized as a powerful, non-pharmacological tool, offering a beacon of comfort and connection for those navigating the challenges of this condition. A recent study, conducted by a team of researche
In the rapidly evolving world of singing voice generation, a significant hurdle remains: how to accurately assess the quality of these AI-generated vocals. While human listening tests are the gold standard, they’re often costly and time-consuming. Ex
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 bustling cities of Toronto and Vancouver, Mandarin Chinese echoes through homes and streets, a testament to its growing influence as a primary non-official language. To better understand this linguistic giant, researcher Shizheng Xu has turned
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 the realm where music and language intersect, translating lyrics presents a unique challenge that demands a delicate balance between linguistic accuracy and musical constraints. Traditional methods often fall short, relying on rigid rules and sent
In the ever-evolving landscape of audio analysis and machine learning, a new tool has emerged that promises to streamline workflows and enhance capabilities. Surfboard, an open-source Python library, is designed to extract audio features with a parti
In a groundbreaking stride towards unraveling the intricate world of auditory perception, researchers Hong Zhang, Jie Lin, and Shengxuan Chen have published a comprehensive review that sheds light on the multifaceted nature of timbre perception and r
