公开(公告)号：US20200249308A1

公开(公告)日：2020-08-06

申请号：US16858208

申请日：2020-04-24

Applicant: Huawei Technologies Co., Ltd.

Inventor： Kainan CHEN ,  Wenyu JIN

IPC: G01S3/80 ,  G01S3/808

Abstract: A device estimates direction of arrival (DOA) of sound from sound sources received by P microphones, wherein P≥>1. The device is configured to transform the output signals of the microphones into the frequency domain and compute a covariance matrix for each of N frequency bins in a range of frequencies of the sound. Further, the device is configured to calculate an adapted covariance matrix from each of the covariance matrices for wide-band merging, calculate an accumulated covariance matrix from the N adapted covariance matrices, and estimate the DOA for each of the sound sources based on the accumulated covariance matrix. In order to calculate an adapted covariance matrix from a covariance matrix, the device is configured to spectrally decompose the covariance matrix and obtain a plurality of eigenvectors, rotate each obtained eigenvector, and construct each rotated eigenvector back to the shape of the covariance matrix.

公开(公告)号：US20190273987A1

公开(公告)日：2019-09-05

申请号：US16418363

申请日：2019-05-21

Applicant: Huawei Technologies Co., Ltd.

Inventor： Wenyu JIN ,  Thomas SHERSON ,  Willem Bastiaan KLEIJN ,  Richard HEUSDENS ,  Yue LANG

IPC: H04R3/00 ,  H04R1/40

Abstract: The invention relates to a sound processing node for an arrangement of sound processing nodes, the sound processing nodes being configured to receive a plurality of sound signals, wherein the sound processing node comprises a processor configured to generate an output signal on the basis of the plurality of sound signals weighted by a plurality of beamforming weights, wherein the processor is configured to adaptively determine the plurality of beamforming weights on the basis of an adaptive linearly constrained minimum variance beamformer using a transformed version of a least mean squares formulation of a constrained gradient descent approach, wherein the transformed version of the least mean squares formulation of the constrained gradient descent approach is based on a transformation of the least mean squares formulation of the constrained gradient descent approach to the dual domain.

公开(公告)号：US20180376272A1

公开(公告)日：2018-12-27

申请号：US16047098

申请日：2018-07-27

Applicant: Huawei Technologies Co., Ltd.

Inventor： Panji SETIAWAN ,  Wenyu JIN

IPC: H04S7/00 ,  G10L19/008

CPC classification number: H04S7/302 ,  G10L19/008 ,  G10L2019/0012 ,  H04S2420/01 ,  H04S2420/11 ,  H04S2420/13

Abstract: The disclosure relates to an apparatus for processing soundfield data, the soundfield data defining a soundfield within a spatial reproduction region comprising at least one bright zone and at least one quiet zone. The apparatus comprises an applicator configured to apply a spatially continuously varying weighting function to the soundfield data in order to obtain weighted soundfield data defining a weighted soundfield, wherein the spatially continuously varying weighting function is configured to enhance the soundfield in at least one of the bright zone and the quiet zone.

公开(公告)号：US20200286501A1

公开(公告)日：2020-09-10

申请号：US16847239

申请日：2020-04-13

Applicant: Huawei Technologies Co., Ltd.

Inventor： Wei XIAO ,  Wenyu JIN

IPC: G10L21/0208 ,  G10L25/84

Abstract: A signal enhancer includes an input configured to receive an audio signal. It also includes a processor that is configured to generate at least two different filters based on the audio signal X of a current frame. The processor is also configured to generate at least two filtered signals by applying each of the at least two filters to the audio signal of the current frame respectively. The processor is further configured to generate an enhanced audio signal Y for the current frame by merging the n filtered signals. This improves the robustness of the signal enhancement.

公开(公告)号：US20190306650A1

公开(公告)日：2019-10-03

申请号：US16409368

申请日：2019-05-10

Applicant: Huawei Technologies Co., Ltd.

Inventor： Wenyu JIN ,  Peter GROSCHE

IPC: H04S7/00 ,  H04R5/02 ,  H04R5/04 ,  H04S3/00 ,  H04R3/04

Abstract: A signal generator has a filter bank that provides weighted versions of audio signals to speakers. The weights were derived by identifying a first constraint that limits a weight that can be applied to an audio signal to be provided to a first speaker. A characteristic of a second speaker that affects how a user will perceive audio signals output by that speaker relative to audio signals output by the first speaker was also determined. A second constraint was determined based on the determined characteristic and the first constraint. The weights were then determined so as to minimize a difference between an actual balance of each signal that is expected to be heard by a user and a target balance. The signal generator can achieve sweet spot correction and sound stage widening simultaneously. It also achieves a balanced sound stage, particularly when the speakers are asymmetric.

公开(公告)号：US20180270573A1

公开(公告)日：2018-09-20

申请号：US15940635

申请日：2018-03-29

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yue LANG ,  Wenyu JIN ,  Thomas SHERSON ,  Richard HEUSDENS ,  Willem Bastiaan KLEIJN

IPC: H04R3/00 ,  H04R1/40

CPC classification number: H04R3/005 ,  G10L21/0208 ,  G10L21/0232 ,  G10L2021/02166 ,  H04R1/406 ,  H04R2201/401 ,  H04R2420/07

Abstract: A sound processing node for an arrangement of sound processing nodes is disclosed. The sound processing nodes being configured to receive a plurality of sound signals, wherein the sound processing node comprises a processor configured to determine a beamforming signal on the basis of the plurality of sound signals weighted by a plurality of weights, wherein the processor is configured to determine the plurality of weights using a transformed version of a linearly constrained minimum variance approach, the transformed version of the linearly constrained minimum variance approach being obtained by applying a convex relaxation to the linearly constrained minimum variance approach.