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Although keyword spotting (KWS) technologies have been successfully applied to some applications, most KWS systems have a common problem of noise-robustness when applied to real-world environments. Audio-visual keyword spotting (AVKWS) using both acoustic and visual information is a solution to complementarily solve the problem. Most existing audio-visual speech recognition (AVSR) systems extract...
It's a natural and convenient way for a robot to interact with outside by robot's ears (i.e. microphones) based on correctly detection and recognition of a sound event. This paper considers sound event detection and recognition in indoor environment where there are varying noises around a robot. To handle the problem of varying background noises, a novel sound event detection and recognition system...
This paper presents a digitally trimmable low-noise low-power amplifier for EEG signal acquisition. The gain is 3-bit programmable from 54.2dB to 72.3dB and the high cutoff frequency can be adjusted using 3 bits from 152Hz to 360Hz. A T-network capacitor structure is proposed to reduce the capacitor area on chip. By increasing the size of the input transistors and operating MOS transistors in the...
Speech is the most natural and efficient way for Human-Robot Interaction (HRI), although speech recognition systems face some challenges on a mobile robot platform due to the wide range of users and varied noisy environments. This paper proposes a selection method of speech vocabulary for HRI, which can choose the most robust sub-vocabulary from the predefined isolated word vocabulary. We define a...
In this paper, analytical modeling of high-frequency noise was carried out including temperature effects in AlGaN/GaN high electron mobility transistors (HEMTs) on high-resistivity Si substrates over a wide temperature range from -50°C to 200°C. The device's microwave S-parameters and overall noise parameters, including minimum noise figure (NFmin), equivalent noise resistance (Rn) , and optimum source...
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