Abstract: Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, and robotics. While DNNs deliver state ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

[2024/4/23] We have added an audio-grounding feature that tracks the sound-making object within the video's soundtrack. [2023/5/12] We have authored a technical report for SAM-Track. [2023/5/7] We ...

“Integrated Sensing and Communications: Theory, Algorithm and Applications” covers the integration of wireless communications and radar sensing, tackling some of the major technologies in 6G wireless ...

Social media feeds are becoming more customizable as platforms like Threads, Instagram, and TikTok introduce tools that let users directly influence the algorithms powering their recommendations.

Abstract: Deep learning based speech enhancement in the short-time Fourier transform (STFT) domain typically uses a large window length such as 32 ms. A larger window can lead to higher frequency ...