Real Time
Real-time processing focuses on developing systems capable of analyzing and responding to data instantaneously, crucial for applications demanding immediate feedback. Current research emphasizes efficient algorithms and model architectures, such as those based on deep learning, to reduce computational latency in diverse domains including robotics, healthcare, and AI-assisted tutoring. This field's advancements are driving progress in areas like autonomous navigation, personalized healthcare monitoring, and human-computer interaction, enabling more responsive and effective systems.
Papers
Optimization of a Real-Time Wavelet-Based Algorithm for Improving Speech Intelligibility
Tianqu Kang, Anh-Dung Dinh, Binghong Wang, Tianyuan Du, Yijia Chen, Kevin Chau
PrivPAS: A real time Privacy-Preserving AI System and applied ethics
Harichandana B S S, Vibhav Agarwal, Sourav Ghosh, Gopi Ramena, Sumit Kumar, Barath Raj Kandur Raja
Towards a Real-time Measure of the Perception of Anthropomorphism in Human-robot Interaction
Maria Tsfasman, Avinash Saravanan, Dekel Viner, Daan Goslinga, Sarah de Wolf, Chirag Raman, Catholijn M. Jonker, Catharine Oertel
End-to-End Neural Speech Coding for Real-Time Communications
Xue Jiang, Xiulian Peng, Chengyu Zheng, Huaying Xue, Yuan Zhang, Yan Lu