In the realm of audio processing, the quest for clear and intelligible speech in noisy environments has been a persistent challenge. A recent breakthrough in this area comes from researchers Behnaz Bahmei, Siamak Arzanpour, and Elina Birmingham, who
In a groundbreaking development for the field of astrophysics, a team of researchers has created the first large-scale mock spectroscopic survey of gas absorption sightlines, traversing the interstellar medium (ISM), circumgalactic medium (CGM), and
In the realm of film post-production, augmented reality (AR), virtual reality (VR), and sound design, the ability to generate audio from video is becoming increasingly crucial. This process, known as video-to-audio generation (V2A), is particularly i
In the realm of immersive performance, the intersection of technology and creativity is a burgeoning frontier. A recent practice-based investigation, spearheaded by Pavlos Panagiotidis, Jocelyn Spence, and Nils Jager, delves into the realm of authori
In the rapidly evolving landscape of artificial intelligence, the integration of audio and video data into large language models (LLMs) has opened new horizons for multimodal applications. However, the extended temporal dimension introduced by audio
In the ever-evolving landscape of cloud and data center environments, the security of enterprise-grade networking hardware and software stands as a critical bulwark against potential threats. Network interface controllers (NICs), essential components
In the rapidly evolving landscape of text-to-music generation, a significant hurdle has been the preservation of the original temporal structure of music when editing specific attributes such as instrument, genre, or mood. Traditional methods often f
In the rapidly evolving landscape of digital media, the detection of deepfakes—manipulated audio-visual content—has become a critical area of research. Recent advancements in multimodal deepfake detection methods have aimed to improve generalization
In the realm of voice technology, the development of efficient keyword spotting (KWS) systems for ultra-low-power hardware has been significantly hindered by the lack of specialized, multi-command training datasets. Traditionally, data collection inv
In the relentless pursuit of developing safe Autonomous Driving Systems (ADS), researchers have turned to Virtual Testing Environments (VTE) as a practical alternative to exhaustive physical testing. The crux of this approach lies in comparing VTE-ge
