Bang and Olufsen A/s

Sven Ewan Shepstone

Søren Borup Jensen

Pablo Martinez-Nuevo

Magnus Søgaard Magnussen

Kevin Nørby Andersen

Pablo Martínez Nuevo

A system for configuring one or more features of a wearable device based on a detected use state of the wearable device, the system including a wearable device including a first housing, a first earphone unit located within the first housing, and a plurality of sensors, wherein a first sensor of the plurality of sensors is a force sensor and a second sensor of the plurality of sensors is an inertial measurement unit (IMU) sensor, at least one processor and memory configured to process data from the plurality of sensors to detect a use state of the wearable device such that: if the detected use state is an active use state, the processor generates a signal to power on the wearable device, and if the detected use state is an inactive use state, the processor generates a signal to power down the wearable device.

Systems and methods for configuring device features based on detected use state

The present disclosure relates to a method for performing inference on input data using a neural network and a processing device employing the aforementioned method. The method comprises the steps of obtaining and storing input data, obtaining parameter data indicating the parameters of the first layer and storing the parameter data in a parameter data storage location and processing the input data using the first layer parameter data, to form first layer output data. The method further comprises storing the first layer output data, obtaining parameter data of the second layer and storing the second layer parameter data by replacing the first layer parameter data with the second layer parameter data, processing the first layer output data using the stored second layer parameter data to form second layer output data; and storing the second layer output data.

Partial inference framework for sequential DNN processing on constrained devices, and acoustic scene classification using said partial inference framework

A headset comprising a controller configured to receive wind information comprising information relating to a direction of wind in a predetermined coordinate system, direction information relating to a direction of the headset in the predetermined coordinate system, and an input audio signal and to generate an output audio signal based on the wind information, the direction information and the input audio signal.

Headset capable of compensating for wind noise

A method for identifying a user among a plurality of users of a multimedia system comprising extracting an i-vector for the speech utterance using total variability modeling, comparing the extracted i-vector with a collection of i-vector sets in order to identify a target set most similar to the extracted i-vector, and granting access to the multimedia system in accordance with an access profile associated with the identified target set. Further, source variation is minimized by, for each speech utterance acquired using a specific data source, re-centering first-order statistics of the speech utterance around the mean of an informative prior associated with the source, and using the co-variance of the informative prior associated with the source when extracting the i-vector for the speech utterance.

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Struer, Denmark

Sven Ewan Shepstone