Gn Audio A/s

Clément Laroche

Rasmus Kongsgaard Olsson

Pejman Mowlaee

Robert James

Diego Caviedes Nozal

Michael Sødal Schwartz

A signal processing method and a wearable electronic device such as a headphone or an earphone comprising a microphone arranged to pick up an acoustic signal and convert the acoustic signal to a microphone signal (x); a loudspeaker arranged in an earpiece; and a processor configured to control the volume of a masking signal (m); and supply the masking signal (m) to the loudspeaker. Further, the processor is further configured to detect voice activity and generate a voice activity signal (y) which is, concurrently with the microphone signal, sequentially indicative of one or more of: voice activity and voice in-activity; and control the volume of the masking signal (m) in response to the voice activity signal (y) in accordance with supplying the masking signal (m) to the loudspeaker at a first volume at times when the voice activity signal (y) is indicative of voice activity and at a second volume at times when the voice activity signal (y) is indicative of voice in-activity.

Wearable electronic device for emitting a masking signal

An audio device comprising, an interface, one or more first output transducers, one or more input transducers, and a processor. The audio device is configured to emit a first ultrasound signal, receive a first reflection indicative of the first ultrasound signal, process the first reflection to determine movement, and in response to movement being determined, adjust one or more audio processing parameters of the audio device.

Audio device with ultrasound movement detection

The present disclosure relates to a microphone apparatus and an associated computer implemented method. The microphone apparatus comprising a main microphone array, an adaptive beamformer, a fixed beamformer, and an analyzer. The analyzer is configured to determine a first relative score based on the output of the fixed beamformer and the adaptive beamformer. The first relative score indicating a difference between the adaptive beamformer and the fixed beamformer.

Microphone apparatus

An audio device comprising memory, an interface, and one or more processors, wherein the one or more processors are configured to obtain audio data; process the audio data for provision of an audio output; process the audio data for provision of one or more audio parameters indicative of one or more characteristics of the audio data; map the one or more audio parameters to a first latent space of a first neural network for provision of a mapping parameter indicative of whether the one or more audio parameters belong to a training manifold of the first latent space; determine, based on the mapping parameter, an uncertainty parameter indicative of an uncertainty of processing quality; and control the processing of the audio data for provision of the audio output based on the uncertainty parameter.

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Ballerup, Denmark

Clément Laroche