Abstract: Methods, systems, and apparatus for audio noise reduction from a drone are disclosed. An example apparatus includes a first sensor to gather acoustic data and a second sensor to gather rotational motion data of a rotor. The example apparatus also includes an analyzer to match the rotational motion data to a filter and filter the acoustic data using the filter. The analyzer also is to generate an audio signal based on the filtered acoustic data.

Abstract: Methods and apparatuses for implementing a neural network using symmetric tensors. In embodiments, a system may include a higher order neural network with a plurality of layers that includes an input layer, one or more hidden layers, and an output layer. Each of the input layer, the one or more hidden layers, and the output layer includes a plurality of neurons, where the plurality of neurons includes at least first order neurons and second order neurons, and where inputs at a second order neuron are combined using a symmetric tensor.

Abstract: Voice activity detection technologies are disclosed. In some embodiments, the voice activity detection technologies determine whether the voice of a user of an electronic device is active based at least in part on biosignal data. Based on the determination, an audio sensor may be activated to facilitate the recording of audio signals containing audio data corresponding to an acoustic environment proximate the electronic device. The audio data may be fed to a speech recognition system to facilitate voice command operations, and/or it may be used to confirm or deny a prior determination that user voice activity is present. Device, systems, methods, and computer readable media utilizing such technologies are also described.