Many speech processing systems struggle in conditions with low signal-to-noise ratios and
in changing acoustic environments. Adaptation at the transduction level with integrated …

The fabrication of integrated circuits (ICs) employing two-dimensional (2D) materials is a
major goal of semiconductor industry for the next decade, as it may allow the extension of …

Edge audio devices can reduce data bandwidth requirements by pre-processing input
speech on the device before transmission to the cloud. As edge devices are required to …

Deep Neural Network (DNN) based inference at the edge is challenging as these compute,
and data-intensive algorithms need to be implemented at low cost and low power while …

Deep Learning algorithms have become state-of-theart methods for multiple fields, including
computer vision, speech recognition, natural language processing, and audio recognition …

This paper presents a novel FPGA-based neuromorphic cochlea, leveraging the general-
purpose spike-coding algorithm, Spiketrum. The focus of this study is on the development …

Cochleas are the basis for biology to process and recognize speech information, emulating
which with electronic devices helps us construct high-efficient intelligent voice systems …

We present an overview of recent developments in the area of acoustic sensing that is
inspired by biology and realized by micro-electromechanical systems (MEMS). To support …

One challenging issue in speaker identification (SID) is to achieve noise-robust
performance. Humans can accurately identify speakers, even in noisy environments. We can …

The circuitry and pathways in the brains of humans and other species have long inspired
researchers and system designers to develop accurate and efficient systems capable of …