Monitoring of human and social activities is becoming increasingly pervasive in our living
environment for public security and safety applications. The recognition of suspicious events …

Health care, public safety, home security and self-driving cars applications rely on the
automatic identification and interpretation of sound events. For example, abnormal …

Most previous works on sound event detection (SED) are based on binary hard labels of
sound events, leaving other scales of information underexplored. To address this problem …

Sounds are essential to how humans perceive and interact with the world and are captured
in recordings and shared on the Internet on a minute-by-minute basis. These recordings …

There is no doubt that the popularity of smart devices and the development of deep learning
models bring individuals too much convenience. However, some rancorous attackers can …

The UN Sustainable Development Goals (SDGs) present a global agenda addressing
social, economic, and environmental challenges in a holistic approach. The development of …

Health care, public safety, home security and self-driving cars applications rely on the
automatic identification and interpretation of sound events. For example, abnormal …