Recent advancements in artificial intelligence (AI) have shown potential solutions to acoustic
source localization in three-dimensional space. This paper proposes a new low-complex AI …

Acoustic source localization in a noisy and reverberating environment is still a challenging
problem in signal processing. An improved technique has been developed herein exploring …

This paper presents a learning-based method for source localization in the presence of
directional interference under reverberant and noisy conditions. The proposed method …

Direction of arrival estimation using the spherical microphone array usually requires a
search in the whole 3-dimensional space, hence computationally demanding. This work …

Accurate direction of arrival (DOA) estimation is critical for many audio signal processing
tasks in microphone array applications. However, real-world environments pose …

The rise of Industry 5.0 underscores the need to foster STEM professionals for economic
progress. However, the drop in urban Pahang's upper-secondary students enrolled in …

Acoustic source tracking is significant across applications like surveillance,
teleconferencing, and robot audition, yet the complexity introduced by reverberation …

Support vector machines, or SVMs, have become a really big deal in machine learning
because of how good they are at classification and regression problems. This article …

In antenna array signal processing, estimating the direction-of-arrival (DoA) remains a
challenge and basic problem. In this paper, a DoA estimation technique using support vector …

It is incredibly challenging to simultaneously locate an acoustic source in a noisy,
reverberant environment and mitigates directional interference. The proposed study uses a …