Audio classification is an important task in the machine learning field with a wide range of
applications. Since the last decade, deep learning based methods have been widely used …

For acoustic event recognition (AER), it is important to extract the semantic feature that
considers both the content information and the temporal ordering. To this end, our previous …

The advancement of digital technologies promotes the documentation of traditional operas,
leaving a large amount of data but in a state of fragmentation. Constructing a knowledge …

Embroidery images carry rich historical information and are an important form of embroidery
art. In the field of combination query image retrieval, how to efficiently retrieve the …

With the rapid development of artificial intelligence and the Internet of Things technology, the
automatic music composition system has become a hot topic of research. This paper …

Transformers have made substantial contributions to various computer vision tasks,
leveraging their attention mechanisms. However, their performance tends to be deficient on …

The accurate prediction of time series data in the industrial production process can provide
important guidance for the scheduling and decision-making of industrial systems, and is also …

Audio Classification Task [1] is a task that aims to classify audio signals into different
categories. For example, audio can be classified as the human voice, animal voice, music …