In the rapidly evolving landscape of electric vehicles (EVs), one of the most pressing challenges is ensuring that these quieter, eco-friendly cars remain detectable to pedestrians and other road users. Traditional internal combustion engine vehicles
In the ever-evolving world of audio technology, researchers are continually pushing the boundaries of what’s possible, and a recent study out of Descript, Inc. is no exception. Daniel Jimon, Mircea Vaida, and Adriana Stan have developed a proof-of-co
In the ever-evolving world of audio signal processing, researchers are constantly seeking innovative ways to extract and analyze features from speech signals. A recent study led by Rinku Sebastian, Simon O’Keefe, and Martin Trefzer introduces a novel
In the realm of audio signal processing, extracting meaningful features from speech is a critical task, particularly for applications like speaker and speech recognition. Traditionally, Mel Frequency Cepstral Coefficients (MFCCs) have been the go-to
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 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 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 a groundbreaking development, researchers have introduced an adaptive front-end system for audio signal processing that dynamically adjusts to complex acoustic environments, offering a significant leap in robustness and performance.
The research,
In an era where digital data sharing is ubiquitous, a team of researchers has introduced a groundbreaking audio encryption and authentication method that merges optical hardware with computational imaging, promising robust security for sensitive audi
In a groundbreaking stride for both technology and developmental science, researchers have begun to harness the power of machine learning and speech technology to analyze naturalistic recordings of young children, offering unprecedented insights into
