We discuss biologically inspired devices and architectures for acoustic processing microsystems. We exploit state of the art integrated microsytems technologies to heterogeneously integrate electronics and micromechanical structures for acoustic sensing and signal processing.

bci is one of the most intriguing technologies among other hci systems, mostly because of its capability of recording brain activities. spelling bcis, which help paralyzed people to maintain communication, are one of the striking topics in the field of bci. in this scientific a spelling bci system with high transfer rate and accuracy that uses ssvep signals is proposed. in addition, we suggeste...

Aiming at ’natural’ hands-free acoustic human/machine interfaces, the need for according distant-talking automatic speech recognition (ASR) systems increases and presents us with major signal processing challenges at the acoustic front-end. Considering interactive TV as a challenging exemplary application scenario, we investigate the structural problems presented by noisy and reverberant multi-...

Acoustic sensors have been used for battlefield applications since World War I. Acoustic sensors provide several advantages and are increasingly employed in the modern high-tech battlefield. The twenty-first century battlefield calls for cutting-edge technology for military superiority and deployment of state-of-the-art acoustic sensor systems that employ advanced acoustic signal processing. Th...

Accurate gender classification is useful in speech and speaker recognition as well as speech emotion classification, because a better performance has been reported when separate acoustic models are employed for males and females. Gender classification is also apparent in face recognition, video summarization, human-robot interaction, etc. Although gender classification is rather mature in a...

The goal of the project is to develop the technology for integrated acoustic sensing and signal processing to extract and separate signals of interest in the acoustic scene. The approach uses integrated MEMS/optical technology for acoustic sensing, and applies gradient flow and independent component analysis for signal separation. The focus of the first year of the effort was to implement the s...