Today, there are billions of connected IoT devices and their number continues to grow as
they contribute to the digitalization of infrastructures. However, the deployment process of …

Presently, the prevalence of large language models has driven the rapid popularization of
question-and-answer applications. However, the training and deployment of large language …

Developing 3D graphics applications on consumer-grade mobile devices recently leads to a
growing research interest. However, the limited computational and memory storage capacity …

The issue of identifying the source of mobile recording devices is a crucial focus in the realm
of consumer electronics applications. It significantly aids in evidence collection for judicial …

This paper presents the practical response and performance-aware development of online
speech enhancement from a consumer electronic perspective. To improve the efficiency of …

As the durations of the short utterances are small, it is difficult to learn sufficient
discriminative information. To address this issue, in the acoustic end, we propose a Bark …

This paper introduces a modeling approach that employs multi-level global processing,
encompassing both short-term frame-level and long-term sample-level feature scales. In the …

In recent years, most of the research on speech enhancement (SE) has applied different
strategies to improve performance through deep neural network models. However, as the …

Integrating AI-driven method in healthcare consumer electronics has opened up new
possibilities for large-scale medical records analysis. We introduce a novel approach …

Voice user interfaces (VUIs) have facilitated the efficient interactions between humans and
machines through spoken commands. Since real-word acoustic scenes are complex …