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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
Inventor: Rasmus Kongsgaard OLSSON
IPC: G10L21/0232 , H04R1/40 , H04R3/00 , H04R1/04 , H04R1/08
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.
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公开(公告)号:US20230300526A1
公开(公告)日:2023-09-21
申请号:US18164052
申请日:2023-02-03
Applicant: GN Audio A/S
Inventor: Clément LAROCHE , Pejman MOWLAEE , Rasmus Kongsgaard OLSSON , Michael Sødal SCHWARTZ
CPC classification number: H04R3/005 , G10L25/78 , G10L25/60 , H04R1/08 , H04R1/406 , H04R29/005 , H04R2201/401
Abstract: 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.
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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
Inventor: Rasmus Kongsgaard OLSSON
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.
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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
Inventor: Karim HADDAD , Clément LAROCHE , Rasmus Kongsgaard OLSSON
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.
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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
Inventor: Pejman MOWLAEE , Rasmus Kongsgaard OLSSON , Karim HADDAD
IPC: H04S7/00
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.
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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
Inventor: Karim HADDAD , Clément LAROCHE , Rasmus Kongsgaard OLSSON
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.
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公开(公告)号:US20230206941A1
公开(公告)日:2023-06-29
申请号:US18062778
申请日:2022-12-07
Applicant: GN Audio A/S
Inventor: Rasmus Kongsgaard OLSSON , Clément LAROCHE
IPC: G10L25/78 , G10L25/30 , G10L21/0208
CPC classification number: G10L25/78 , G10L25/30 , G10L21/0208 , G10L2021/02082
Abstract: A method for speech extraction in an audio device is disclosed. The method comprises obtaining a microphone input signal from one or more microphones including a first microphone. The method comprises applying an extraction model to the microphone input signal for provision of an output. The method comprises extracting a near speaker component in the microphone input signal according to the output of the extraction model being a machine-learning model for provision of a speaker output. The method comprises outputting the speaker output.
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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
Inventor: Karim HADDAD , Pejman MOWLAEE , Rasmus Kongsgaard OLSSON
IPC: G10L15/06 , G10L21/0208 , G10L21/0216 , G10L25/30 , G10L25/60
CPC classification number: G10L15/063 , G10L21/0216 , G10L25/30 , G10L25/60 , G10L2021/02082
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.
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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
Inventor: Karim HADDAD , Clément LAROCHE , Rasmus Kongsgaard OLSSON
IPC: H04M3/00
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.
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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
Inventor: Clément LAROCHE , Rasmus Kongsgaard OLSSON
IPC: G10L13/027 , G10L25/78
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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