This paper is a review on acoustic beamforming for noise source localization and its
applications. The main concepts of beamforming, starting from the very basics and …

Over the last decades, the sub–wavelength hearing capability of small living creatures has
been received huge attention in developing microscale biomimetic sound source …

In this work, we propose a grid-based method to estimate the location of multiple sources in
a wireless acoustic sensor network, where each sensor node contains a microphone array …

Stochastic computing (SC) is an alternative computing paradigm that processes data in the
form of uniform bit-streams. SC is fault-tolerant and can compute on small, efficient circuits …

Humans can robustly recognize and localize objects by integrating visual and auditory cues.
While machines are able to do the same now with images, less work has been done with …

Head related transfer functions (HRTF) describe how sound signals bounce, scatter, and
diffract when they arrive at the head, and travel towards the ears. HRTFs produce distinct …

With the current technological transformation in the automotive industry, autonomous
vehicles are getting closer to the Society of Automative Engineers (SAE) automation level 5 …

In order to simplify the complexity and reduce the cost of the microphone array, this paper
proposes a dual-microphone based sound localization and speech enhancement algorithm …

In this paper, a MEMS microphone array system scheme is proposed which implements real-
time direction of arrival (DOA) estimation for moving vehicles. Wind noise is the primary …

Most sound source diagnosis systems based on acoustic images are spatially stationary and
unable to combine information from multiple capture positions, resulting in unreliable and …