In recent years, research on convolutional neural networks (CNN) and recurrent neural
networks (RNN) in deep learning has been actively conducted. In order to provide more …

In recent decades, smart home technology has advanced, improving the well-being and
quality of life of its users. Thus, its applications have expanded, particularly in health and …

People who are not experts in robotics can easily implement complex robotic applications by
using human–robot interaction (HRI). HRI systems require many complex operations such …

Acoustic event detection and analysis has been widely developed in the last few years for its
valuable application in monitoring elderly or dependant people, for surveillance issues, for …

This paper proposes a robust model for domain recognition of acoustic communication by
using Bidirectional LSTM and deep neural network. The proposed model consists of five …

Drones have attracted more and more attention due to the convenience and wide
applications, and they are playing important roles for both civilian and military. But these …

In the last decade, Anomalous Sound Detection (ASD) is becoming an increasingly
challenging task for a plethora of applications due to the widespread diffusion of Deep …

In recent years, drones have brought about numerous conveniences in our work and daily
lives due to their advantages of low cost and ease of use. However, they have also …

Anomalous sound detection (ASD) is the task of identifying whether the sound emitted from
an object is normal or anomalous. In some cases, early detection of this anomaly can …

Audio-based event detection poses a number of different challenges that are not
encountered in other fields, such as image detection. Challenges such as ambient noise …