Abstract: Oxygen electrodes, production methods and reversible, alkaline or anion exchange membrane (AEM) electrochemical devices are provided. The oxygen electrodes are operable in the reversible devices both as cathodes of a fuel cell supporting an oxygen reduction reaction (ORR), and as anodes of an electrolyzer supporting an oxygen evolution reaction (OER). The oxygen electrodes comprise a substrate layer which may be a porous transport layer (PTL), possibly coated and/or hydrophobized, or a membrane; and a blend of catalysts which is deposited on the substrate layer to form a catalyst layer, and includes ORR catalyst (e.g., a platinum group metal), OER catalyst (e.g., nickel-based particles), and possibly binders such as ionomers, PTFE or other polymers that are resistant in alkaline environment, but with the catalyst layer and the substrate layer being devoid of elemental carbon.

Abstract: Methods, systems, apparatuses, and computer program products are provided herein for determining the handedness of input provided by a user via a touch interface. For instance, for each touch-based input detected, a score indicating a probability whether the touch-based input was inputted by a particular hand of the user is generated. A classification for the touch-based input is then generated based on a drift diffusion model-based technique in which inter-dependencies between a series of touch-based input are approximated. The determined classifications are used to determine the handedness of the user.

Abstract: In a system and method for voice activity detection (VAD) including: obtaining audio frames from a multi-microphone array; calculating steered response power (SRP) values of the audio frames; calculating entropy levels based on the SRP values; detecting a sequence of audio frames in which the entropy levels are substantially constant across the sequence of frames and denoting an entropy level of the sequence as a background entropy; identifying an incoming audio frame as containing voice activity if the difference between a level of entropy of the current audio frame and the background entropy is larger than a first threshold, and as not containing voice activity otherwise.

Abstract: In a system and method for voice activity detection (VAD) including: obtaining audio frames from a multi-microphone array; calculating steered response power (SRP) values of the audio frames; calculating entropy levels based on the SRP values; detecting a sequence of audio frames in which the entropy levels are substantially constant across the sequence of frames and denoting an entropy level of the sequence as a background entropy; identifying an incoming audio frame as containing voice activity if the difference between a level of entropy of the current audio frame and the background entropy is larger than a first threshold, and as not containing voice activity otherwise.

Abstract: In a system and method for voice activity detection (VAD) including: obtaining audio frames from a multi-microphone array; calculating steered response power (SRP) values of the audio frames; calculating entropy levels based on the SRP values; detecting a sequence of audio frames in which the entropy levels are substantially constant across the sequence of frames and denoting an entropy level of the sequence as a background entropy; identifying an incoming audio frame as containing voice activity if the difference between a level of entropy of the current audio frame and the background entropy is larger than a first threshold, and as not containing voice activity otherwise.