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 …

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

Multi-channel speech enhancement leverages multiple microphones to extract target
speech signals amid background noise. Effectively utilizing directional cues is key for robust …

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

Source localization in the presence of reverberation and a noisy environment is still a
challenging research problem and has various signal processing applications. This paper …

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

The problem of source localization in noisy and reverberating envi-ronments is still an open
and challenging problem in the signal processing field. Typically, the identification of the so …