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公开(公告)号：US12093810B2
公开(公告)日：2024-09-17
申请号：US17290519
申请日：2019-11-04
Inventor： Haoqian He , Jianjun Li , Chang Huang
CPC classification number: G06N3/063 , G06F3/0658 , G06N3/04
Abstract: Disclosed are a convolution processing engine and a control method thereof, and a convolutional neural network accelerator comprising the convolution processing engine. The convolution processing engine comprises at least two cache memories connected in series and an operational circuit. The convolution processing engine can realize an efficient convolution operation with lower complexity and power consumption.
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2.发明公开公开(公告)号：US20230342415A1
公开(公告)日：2023-10-26
申请号：US18192548
申请日：2023-03-29
Inventor： Yinan ZHANG , Delin LI , Jianjun LI
IPC: G06F17/15
CPC classification number: G06F17/153
Abstract: Disclosed are a feature extraction method and apparatus for a three-dimensional feature map, a storage medium, and an electronic device. The method includes: determining an overlay parameter based on depth information of a three-dimensional feature map to be processed; decomposing the three-dimensional feature map into a plurality of target two-dimensional feature maps based on the depth information and the overlay parameter; performing two-dimensional convolution processing on each of the plurality of target two-dimensional feature maps to obtain a plurality of initial feature maps; and determining a target feature map corresponding to the three-dimensional feature map based on the plurality of initial feature maps.
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3.发明申请公开(公告)号：US20220217468A1
公开(公告)日：2022-07-07
申请号：US17434208
申请日：2019-11-27
Inventor： Changbao ZHU
Abstract: Disclosed are a method, an apparatus and an electronic device for controlling audio playback of multiple loudspeakers, wherein the method comprises: determining the location information of each speaker and voice signals issued by each speaker; determining the area where each speaker is located according to the location information of each speaker; determining voice instruction corresponding to each voice signal; and controlling the multiple loudspeakers to play the audio indicated by the corresponding voice instruction respectively for the area where the speaker of each voice instruction is located. According to the method and apparatus and/or the electronic device in an embodiment of the present disclosure, different audios can be played for different areas in a preset space.
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公开(公告)号：US20220004855A1
公开(公告)日：2022-01-06
申请号：US17290519
申请日：2019-11-04
Inventor： Haoqian HE , Jianjun LI , Chang HUANG
Abstract: Disclosed are a convolution processing engine and a control method thereof, and a convolutional neural network accelerator comprising the convolution processing engine. The convolution processing engine comprises at least two cache memories connected in series and an operational circuit. The convolution processing engine can realize an efficient convolution operation with lower complexity and power consumption.
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5.发明授权公开(公告)号：US12124677B2
公开(公告)日：2024-10-22
申请号：US18001824
申请日：2022-01-21
Inventor： Jizhou Long , Shaopeng Li , Liang Xu , Junkai Sun
IPC: G06F3/048 , G06F3/04817 , H04N23/60 , H04N23/90
CPC classification number: G06F3/04817 , H04N23/64 , H04N23/90
Abstract: Disclosed are a dynamic display method based on an operating body, a computer-readable storage medium and electronic device. The method includes: determining a position of a to-be-displayed icon on a screen in response to an air operation performed by the operating body relative to the screen in space; displaying the icon at the determined position; determining a first movement physical quantity of the operating body in response to detecting the operating body moving; determining a second movement physical quantity of the icon on the screen based on the first movement physical quantity; and controlling the icon to be dragged on the screen based on the second movement physical quantity. Thus, a user can know whether the air operation is accurate or not in real time according to a moving track of the icon, which improves the user's sense of control and the accuracy of the air operation.
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Patent Agency Ranking
公开(公告)号：US11817112B2
公开(公告)日：2023-11-14
申请号：US17352748
申请日：2021-06-21
Inventor： Yuxiang Hu
IPC: G10L21/0216 , G06T7/70 , G10L21/0232 , G10L25/18 , H04R1/32 , H04R3/00
CPC classification number: G10L21/0216 , G06T7/70 , G10L21/0232 , G10L25/18 , H04R1/326 , H04R3/005 , G10L2021/02166
Abstract: A method, a device, a computer readable medium and an electronic apparatus for speech signal processing are disclosed. The method comprises: acquiring sound source position information and at least two channels of sound signals from a microphone array; suppressing, according to the sound source position information, a sound signal from the sound source direction in the at least two channels of sound signals, to obtain a noise reference signal of the microphone array; acquiring, according to the sound source position information, a sound signal from the sound source direction in the at least two channels of sound signals, to obtain a speech reference signal; removing, based on the noise reference signal, a residual noise signal in the speech reference signal to obtain a desired speech signal.
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公开(公告)号：US11328180B2
公开(公告)日：2022-05-10
申请号：US16666631
申请日：2019-10-29
Inventor： Yonghao Xu , Qian Zhang , Guoli Wang , Chang Huang
Abstract: Disclosed are a method for updating a neural network and an electronic device. The method includes: inputting a first image set having tag information into a first depth neural network, and determining a cross entropy loss value of the first image set by using the first depth neural network; inputting a second image set having no tag information separately into the first depth neural network and a second depth neural network, and determining a consistency loss value of the second image set, the first depth neural network and the second depth neural network having the same network structure; updating parameters of the first depth neural network based on the cross entropy loss value and the consistency loss value; and updating parameters of the second depth neural network based on the updated parameters of the first depth neural network.
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公开(公告)号：US11163443B2
公开(公告)日：2021-11-02
申请号：US16713895
申请日：2019-12-13
Inventor： Xinyu Zhang
IPC: G06F3/06
Abstract: Disclosed are a method and an apparatus for controlling storage operations of data of Region of Interest (ROI). The method may include obtaining data of a first ROI, determining to keep the data of the first ROI according to a score of the first ROI, and overriding data of a second ROI already stored in a storage region for storing ROI data with the data of the first ROI in a case where a remaining capacity of the storage region is insufficient. Related electric device and non-transitory computer readable medium are also disclosed.
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9.发明授权公开(公告)号：US11856379B2
公开(公告)日：2023-12-26
申请号：US17434208
申请日：2019-11-27
Inventor： Changbao Zhu
CPC classification number: H04R3/12 , G10L15/25 , G10L15/30 , H04S7/302 , H04R2420/03
Abstract: Disclosed are a method, an apparatus and an electronic device for controlling audio playback of multiple loudspeakers, wherein the method comprises: determining the location information of each speaker and voice signals issued by each speaker; determining the area where each speaker is located according to the location information of each speaker; determining voice instruction corresponding to each voice signal; and controlling the multiple loudspeakers to play the audio indicated by the corresponding voice instruction respectively for the area where the speaker of each voice instruction is located. According to the method and apparatus and/or the electronic device in an embodiment of the present disclosure, different audios can be played for different areas in a preset space.
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10.发明公开公开(公告)号：US20230409886A1
公开(公告)日：2023-12-21
申请号：US18247408
申请日：2022-02-10
Inventor： Zhuoran ZHAO , Kai YU , Chang HUANG , Zhenjiang WANG , Jianjun LI , Delin LI , Yinan ZHANG
IPC: G06N3/0464
CPC classification number: G06N3/0464
Abstract: The present disclosure provides a method and apparatus for deconvolving feature data using convolution hardware. The method includes: reading a feature map and deconvolution kernel into on-chip memory, and padding zeroes to the feature map; determining convolution kernels based on the deconvolution kernel; removing a row and/or column of each convolution kernel whose elements all are invalid weights, to obtain an optimized convolution kernel, and removing a corresponding row and/or column in the zero-padded feature map to obtain an corresponding optimized feature map; convolving each optimized convolution kernel with corresponding optimized feature map using the multiply-add array, to obtain convolutional outputs; and interleaving and synthesizing the convolutional outputs to obtain an interleaving synthetic output including at least a deconvolutional output corresponding to the feature map and deconvolution kernel. The method reduces hardware complexity, chip area and power consumption, and many invalid operations, improving operating efficiency of convolution hardware.
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