Gn Audio A/s

Gn Netcom A/s

Rasmus Kongsgaard Olsson

Martin Rung

Clément Laroche

Erik Witthøfft Rasmussen

Pejman Mowlaee

Thomas Fuglsang

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

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

A method comprising: at an electronic device () having an array microphones () with a plurality of microphones and a processor (): receiving a plurality of microphone signals (x, x, x) from the plurality of microphones; generating a processed signal (XP) from the plurality of microphone signals using one or both of beamforming and deconvolution; generating a compensated processed signal (XO) by compensating the processed audio signal (XP) in accordance with compensation coefficients (Z). Generating the compensated processed signal comprises: generating first spectrum values (PXP) from the processed audio signal; generating reference spectrum values (<PX>) from multiple second spectrum values (PX, PX, PX) generated from each of at least two of the microphone signals in the plurality of microphone signals (x, x, x); and generating the compensation coefficients (Z) from the reference spectrum values (<PX>) and the first spectrum values (PXP). The compensation may improve undesired effects related to e.g. coloration at the output of multi-microphone systems involving e.g. one or both of beamforming and deconvolution of microphone signals from a microphone array.

Method of compensating a processed audio signal

A conference device and a computer-implemented method for training a neural network are disclosed, the conference device comprising a conference controller; a microphone array comprising a plurality of microphones for provision of audio signals representing audio from one or more sound sources; a direction estimator connected to the conference controller and the microphone array, the direction estimator configured to obtain, from the microphone array, a plurality of audio signals including a first audio signal and a second audio signal; determine direction data based on the plurality of audio signals, the direction data comprising an indication of an estimated probability of voice activity for one or more directions, wherein to determine direction data comprises to apply an offline-trained neural network; and output audio data based on the direction data to the conference controller.

Conference device with voice direction estimation

A headset with an electro-acoustic input transducer arranged to pick up an acoustic signal and convert the acoustic signal to an electric signal. Based on processing a portion of the electric signal, the voice activity detector is configured to: detect proximal voice activity, distal voice activity and no voice activity, at times when respectively present in the acoustic signal picked up by the electro-acoustic transducer, and to select a respective mode, the selection of which is encoded in the control signal. The first processor is controlled by the voice activity detector to reduce, in the output signal, intelligibility of distal voice activity at least at portions of time periods when the control signal indicates the mode of presence of distal voice activity.

Headset with reduction of ambient noise

Disclosed is a method and a headset for reducing pop-noise in voice communication between a user and a far-end device. The headset has a first, a second and a third electro-acoustic input transducer for reception of audio input signals. The headset also has a first beamformer to provide a voice signal. The first beamformer is configured to optimize the voice-to-background noise ratio. The headset comprises a second beamformer configured for providing a pop-noise signal. The pop-noise signal is based on the first input signal from the first input transducer, the second input signal from the second input transducer, and a third input signal from the third input transducer. The second beamformer is adaptively configured to cancel voice and background noise while not cancelling pop-noise. The headset compares the pop-noise signal to the voice signal to determine time periods and frequency bands having pop-noise.

Multi-microphone pop noise control

Disclosed is a method for optimizing noise cancellation in a headset, the headset comprising a headphone and a microphone unit comprising at least a first microphone and a second microphone, the method comprising:

Robust noise cancellation using uncalibrated microphones

A method for attenuating undesired content in an audio signal and to an apparatus adapted to attenuate undesired content in an audio signal. The method has

Method and apparatus for attenuating undesired content in an audio signal

A headset and a method configured to process audio signals from multiple microphones, comprising: a first pair of microphones () outputting a first pair of microphone signals and a second pair of microphones () outputting a second pair of microphone signals; a first near-field beamformer () and a second near-field beamformer () each configured to receive a pair of microphone signals and adapt the spatial sensitivity of a respective pair of microphones as measured in a respective beamformed signal (X; X) output from a respective beamformer (); wherein the spatial sensitivity is adapted to suppress noise relative to a desired signal; a third beamformer () configured to dynamically combine the signals (X; X) output from the first beamformer () and the second beamformer () into a combined signal (X); wherein the signals are combined such that signal energy in the combined signal is minimized while a desired signal is preserved; and a noise reduction unit () configured to process the combined signal (X) from the third beamformer () and output the combined signal such that noise is reduced.

Headset and a method for audio signal processing

A method and a system of noise suppressing an audio signal comprising a combination of at least two audio system input signals each having a sound source signal portion and a background noise portion, the method and system comprising steps and means of: Extracting at least two different types of spatial sound field features from the input signals such as discriminative speech and/or background noise features, computing a first intermediate spatial noise suppression gain on the basis of the extracted spatial sound field features, computing a second intermediate stationary noise suppression gain, combining the two intermediate noise suppression gains to form a total noise suppression gain, wherein the two intermediate noise suppression gains are combined by comparing their values and dependent on their ratio or relative difference, determining the total noise suppression gain, applying the total noise suppression gain to the audio signal to generate a noise suppressed audio system output signal.

Growing community of inventors

Ballerup, Denmark

Rasmus Kongsgaard Olsson