Spectro-Temporal Modulations Incorporated Two-Stream Robust Speech Emotion Recognition

Research on Two-Stream Robust Speech Emotion Recognition Based on Spectro-Temporal Modulation Features Academic Background Speech Emotion Recognition (SER) is a technology that identifies emotions by analyzing the emotional content in human speech. It has broad application potential in areas such as human-computer interaction, customer service mana...

Increased Robustness and Adaptation to Simultaneous Temperature and Elevated Extracellular Potassium in the Pyloric Rhythm of the Crab, Cancer Borealis

Increased Robustness and Adaptation of the Crab Pyloric Rhythm to Simultaneous Temperature and Elevated Extracellular Potassium Academic Background In nature, animals often face multiple simultaneous environmental perturbations, which may include temperature fluctuations, pH variations, salinity changes, and alterations in extracellular potassium c...

An Invisible, Robust Protection Method for DNN-Generated Content

Invisible and Robust Protection Method for Content Generated by Deep Neural Networks Academic Background In recent years, with the revolutionary development and widespread application of deep learning models in engineering applications, phenomenon-level applications such as ChatGPT and DALL⋅E 2 have emerged, profoundly impacting people’s daily live...

dvmark: a deep multiscale framework for video watermarking

dvmark: a deep multiscale framework for video watermarking

DVMark: A Multi-Scale Deep Learning Framework for Video Watermarking Video watermarking technology achieves data hiding by embedding information into the cover video. The DVMark model proposed in this paper is a multi-scale video watermarking solution based on deep learning that boasts high robustness and practicality, capable of resisting various ...