Decoding Multisensory Attention from Electroencephalography for Use in a Brain-Computer Interface
Brain-computer interfaces (BCIs) offer a non-verbal and covert way for humans to interact with a machine. They are designed to interpret user’s brain state that can be translated into action or other communication purposes. While…
Supervised Deep Hashing for Efficient Audio Retrieval [Video]
Audio Event Classification (AEC) is defined as the inherent ability of machines to assign a semantic label to a given audio segment. In spite of multiple efforts in learning better and robust audio representations (or…
Highly Conductive Flexible Sensor Integrated With Personal Devices For Practical Bio-Signal Measure
Highly Conductive and Flexible Sensor Integrated With Personal Devices For Practical Bio-Signal Measurement and Applications Electrophysiological (EP) signal such as electroencephalogram (EEG) and electrocardiography (ECG) is one of most important and widely used noninvasive method…
VERSE: Voice. Exploration. Retrieval. Search.
People with visual impairments are expert users of audio interfaces, including voice-activated virtual assistants and screen readers. Through interviews and surveys of this population, we learned that virtual assistants are convenient and accessible, but lack…
Believe your ears – Hitting all the right notes in spatial sound rendering at ICASSP 2019
Mixed reality (MR) applications and devices are seeing increased adoption, integrating computation into the fabric of our daily lives. This requires realistic rendering of virtual audio-visual content to deliver sensory immersion to MR users. Producing…