This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …

Modern day computer vision tasks requires efficient solution to problems such as image
recognition, natural language processing, object detection, object segmentation and …

The progressive growth of today's digital world has made news spread exponentially faster
on social media platforms like Twitter, Facebook, and Weibo. Unverified news is often …

The advancement in the machine learning and the computer vision has caused several
improvements and development in numerous of domains. Capsule neural networks are one …

In this paper, we propose a novel four-stage data augmentation approach to ResNet-
Conformer based acoustic modeling for sound event localization and detection (SELD) …

Terahertz imaging and time-domain spectroscopy have been widely used to characterize
the properties of test samples in various biomedical and engineering fields. Many of these …

Audio segmentation and sound event detection are crucial topics in machine listening that
aim to detect acoustic classes and their respective boundaries. It is useful for audio-content …

Modern day computer vision tasks requires efficient solution to problems such as image
recognition, natural language processing, object detection, object segmentation and …

Recent analysis on speech emotion recognition (SER) has made considerable advances
with the use of MFCC's spectrogram features and the implementation of neural network …

One of the most amazing functions of the human auditory system is the ability to detect all
kinds of sound events in the environment. With the technologies and hardware advances …