Multi-microphone pop noise control
    1.
    发明申请

    公开(公告)号:US20190005977A1

    公开(公告)日:2019-01-03

    申请号:US16012263

    申请日:2018-06-19

    Applicant: GN Audio A/S

    Abstract: 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.

    HEADSET WITH REDUCTION OF AMBIENT NOISE
    3.
    发明申请

    公开(公告)号:US20190014404A1

    公开(公告)日:2019-01-10

    申请号:US16027809

    申请日:2018-07-05

    Applicant: GN Audio A/S

    Abstract: 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.

    SPEAKERPHONE WITH BEAMFORMER-BASED CONFERENCE CHARACTERIZATION AND RELATED METHODS

    公开(公告)号:US20240073608A1

    公开(公告)日:2024-02-29

    申请号:US18455826

    申请日:2023-08-25

    Applicant: GN Audio A/S

    CPC classification number: H04R5/04 H04M3/42229 H04M3/56 H04R3/005 H04R2203/12

    Abstract: A speakerphone is disclosed. The speakerphone comprises an interface, a speaker, a plurality of microphones, a processor, and a memory. The speakerphone is configured to: obtain a first plurality of microphone input signals of a conference; determine a first plurality of beamforming parameters; obtain a first internal output signal for provision of a first internal audio output signal; output the first internal audio output signal; obtain a third microphone input signal associated with the first internal audio output signal; obtain a second internal output signal for provision of a second internal audio output signal; output the second internal audio output signal; obtain a fourth microphone input signal associated with the second internal audio output signal; determine a first impulse response; determine a second impulse response; and determine one or more conference parameters indicative of a conference configuration, the one or more conference parameters including a first conference parameter; and output the first conference parameter.

    METHOD FOR PROCESSING AUDIO INPUT DATA AND A DEVICE THEREOF

    公开(公告)号:US20240276171A1

    公开(公告)日:2024-08-15

    申请号:US18433868

    申请日:2024-02-06

    Applicant: GN Audio A/S

    CPC classification number: H04S7/305 H04S7/301 H04S2400/09

    Abstract: A computer-implemented method for processing audio input data into processed audio data by using an audio device comprising a microphone, a processor device and a memory holding a plurality of neural networks is presented. The plurality of neural networks are associated with different room types, wherein each room type is associated with one or more reference room acoustic metrics. The method comprises obtaining, by the microphone, room response data, wherein the room response data is reflecting room acoustics of a room in which the audio device is placed, determining, by using the processor device, the one or more room acoustic metrics based on the room response data, and selecting, by using the processor device, a matching neural network among the plurality of neural networks by comparing the one or more room acoustic metrics with the one or more reference room acoustic metrics associated with the different room types associated with the plurality of neural networks.

    SPEAKERPHONE AND SERVER DEVICE FOR ENVIRONMENT ACOUSTICS DETERMINATION AND RELATED METHODS

    公开(公告)号:US20240064241A1

    公开(公告)日:2024-02-22

    申请号:US18232389

    申请日:2023-08-10

    Applicant: GN Audio A/S

    CPC classification number: H04M9/082 G10L25/84

    Abstract: A speakerphone is disclosed. The speakerphone comprises an interface, a speaker, one or more microphones including a first microphone, a processor, and a memory. The speakerphone is configured to obtain an internal output signal for provision of an internal audio output signal in an environment. The speakerphone is configured to output the internal audio output signal in the environment. The speakerphone is configured to obtain a microphone input signal. The speakerphone is configured to determine an impulse response associated with the environment. The speakerphone is configured to determine one or more environment parameters indicative of acoustics of the environment. The speakerphone is configured to transmit the impulse response and/or the first environment parameter to a server device.

    METHOD FOR TRAINING A NEURAL NETWORK AND A DATA PROCESSING DEVICE

    公开(公告)号:US20240212668A1

    公开(公告)日:2024-06-27

    申请号:US18542728

    申请日:2023-12-17

    Applicant: GN Audio A/S

    Abstract: A computer-implemented method (600) for training a neural network (100) by using a data processing device (102) is presented. The method (600) comprises providing (602) pairs (110) of target audio data sets (106) and distorted audio data sets (108) to the neural network (100), providing (604) values (112) of user preference settings, wherein the values (112) are associated to the pairs (110) of target and distorted audio data sets (106, 108), such that the neural network (100) can be trained by a combination of the pairs (110) of the target audio data (106) and the distorted audio data (108) in combination with the values (112) of the user preference settings, wherein the distorted audio data (108) and the values (112) of the user preference settings are used as inputs to the neural network (100) during training, and wherein a loss function (114) used for training the neural network is a function of the values (112) of the user preference settings, the target audio data (106), and the distorted audio data (108) thereby providing for that a variety of user preference settings can be met with one and the same trained neural network.

    SPEAKERPHONE WITH ROOM ACOUSTICS CHARACTERIZATION AND RELATED METHODS

    公开(公告)号:US20240064229A1

    公开(公告)日:2024-02-22

    申请号:US18232841

    申请日:2023-08-11

    Applicant: GN Audio A/S

    CPC classification number: H04M3/002

    Abstract: A speakerphone is disclosed. The speakerphone comprises an interface, a speaker, one or more microphones including a first microphone, a processor, and a memory. The speakerphone is configured to obtain an internal output signal for provision of an internal audio output signal in an environment. The speakerphone is configured to output the internal audio output signal in the environment. The speakerphone is configured to obtain a microphone input signal. The speakerphone is configured to determine an impulse response associated with the environment. The speakerphone is configured to determine one or more environment parameters indicative of acoustics of the environment. The speakerphone is configured to determine an environment score indicative of suitability of a conference setup in the environment. The speakerphone is configured to output the environment score.

    Wearable electronic device for emitting a masking signal

    公开(公告)号:US20210104222A1

    公开(公告)日:2021-04-08

    申请号:US17038953

    申请日:2020-09-30

    Applicant: GN AUDIO A/S

    Abstract: 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.

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