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公开(公告)号：US11836448B2
公开(公告)日：2023-12-05
申请号：US17133126
申请日：2020-12-23
发明人： Yuankai Guo , Bin Wang , Liang Shi , Erli Meng , Yulan Hu , Shuo Wang , Yingzhe Wang
IPC分类号： G06F40/216 , G06F40/279 , G06F40/30 , G06F40/295 , G06F9/48
CPC分类号： G06F40/216 , G06F40/295 , G06F40/30 , G06F9/4881
摘要： A method for semantic recognition includes: in response to performing semantic analysis on information acquired by a terminal, a sentence to be processed is acquired. Word recognition is performed on the sentence to be processed, to obtain a plurality of words and part-of-speech information thereof. A target set update operation is determined with a pre-trained word processing model, according to a word to be processed in the set of words to be processed and part-of-speech information of the word to be processed. If a dependency relationship corresponding to the target set update operation is a first dependency relationship, through each of the plurality of preset set update operations, a respective dependency relationship of the word to be processed and a respective confidence level corresponding to the dependency relationship is determined, and a respective update of the set of words to be processed is performed.
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公开(公告)号：US11798545B2
公开(公告)日：2023-10-24
申请号：US16932148
申请日：2020-07-17
发明人： Luyu Gao , Tianwei Sun , Baiming Ma
IPC分类号： G10L15/22 , G06F16/2452
CPC分类号： G10L15/22 , G06F16/24522
摘要： A speech interaction method includes: acquiring speech information of a user; determining a task list corresponding to the speech information, the task list comprising at least two ordered tasks; and for each task in the at least two ordered tasks, responsive to that a next task of a present task is a question-answer task, querying and sending response information of the next task to a user terminal before execution time of the next task arrives, such that the user terminal outputs the response information when the execution time of the next task arrives.
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公开(公告)号：US11699276B2
公开(公告)日：2023-07-11
申请号：US17378536
申请日：2021-07-16
发明人： Dong Wang
摘要： A method, apparatus, electronic device, and storage medium for character recognition are provided. The method may perform image processing on an acquired original image to obtain a region to be recognized. The region may include a character. The method may determine an area ratio of the region to be recognized on the original image. The method may determine an angle between the region to be recognized and a preset direction. The method may determine a character density of the region to be recognized. The method may perform character recognition on the character in the region to be recognized in response to determining that the area ratio is greater than a ratio threshold, the angle is less than an angle threshold, and the character density is less than a density threshold.
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公开(公告)号：US11631409B2
公开(公告)日：2023-04-18
申请号：US17214489
申请日：2021-03-26
发明人： Guohui Qiao
摘要： Provided are a device control method and apparatus. The method is applied to a server, and includes: receiving user voice instruction information, wherein the user voice instruction information is sent by a voice acquisition device after acquiring a user voice instruction, and the user voice instruction information indicates to-be-processed information and an information processing mode; determining, from a device set according to device information of devices in the device set, a target device capable of processing the to-be-processed information in the information processing mode, wherein the device set comprises the voice acquisition device, and all devices in the device set are bound to a same login account for logging into the server; and controlling the target device to process the to-be-processed information in the information processing mode.
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公开(公告)号：US11551465B2
公开(公告)日：2023-01-10
申请号：US17217825
申请日：2021-03-30
发明人： Zhi Qu , Yasen Zhang , Yan Song , Zhipeng Ge , Ruoyu Liu
摘要： A method for detecting a finger occlusion image includes: N first original occlusion images and M first non-occlusion images are acquired, and first training data set is generated based on first original occlusion images and first non-occlusion images; first training is performed, based on first training data set, on neural network model for detection of finger occlusion image; L second original occlusion images and K second non-occlusion images are acquired, and second training data set is generated based on second original occlusion images and second non-occlusion images; linear classifier in neural network model having completed first training is replaced with iterative training module to form finger occlusion image detection model; second training is performed on finger occlusion image detection model based on second training data set; image to be detected is input into trained finger occlusion image detection model, to determine whether image to be detected is finger occlusion image.
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公开(公告)号：US20230007393A1
公开(公告)日：2023-01-05
申请号：US17646401
申请日：2021-12-29
发明人： Chenbin CAO , Mengnan HE
IPC分类号： H04R3/04 , G10L21/0216 , G10L25/78 , G10L25/21
摘要： A sound processing method includes: determining a vector of a first residual signal according to a first signal vector and a second signal vector, the first signal vector including a first voice signal and a first noise signal input into the first microphone, the second signal vector including a second voice signal and a second noise signal input into the second microphone, and the first residual signal including the second noise signal and a residual voice signal; determining a gain function of a current frame according to the vector of the first residual signal and the first signal vector; and determining a first voice signal of the current frame according to the first signal vector and the gain function of the current frame.
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7.发明申请公开(公告)号：US20220405896A1
公开(公告)日：2022-12-22
申请号：US17646221
申请日：2021-12-28
发明人： Shaohua WAN
摘要： An image processing method and apparatus, a model training method and apparatus, and a storage medium. The image processing method includes: acquiring a to-be-processed image; and inputting the to-be-processed image into a chromatic aberration-removing model to obtain a target image output by the chromatic aberration-removing model, where the chromatic aberration-removing model is obtained by a training data set through training, the training data set includes multiple groups of sample data, and each group of sample data includes a chromatic-aberration-free image and a chromatic-aberration image corresponding to the chromatic-aberration-free image.
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公开(公告)号：US11521172B2
公开(公告)日：2022-12-06
申请号：US17021685
申请日：2020-09-15
发明人： Qingchun Meng , Linhao Gao
摘要： A method and apparatus for scheduling an item, and a computer-readable storage medium are provided. The method can include acquiring a first time sequence corresponding to a target item in a target warehouse, the first time sequence including shipment volume information of the target item corresponding to each unit time within a first historical period. The method can further include determining, according to the first time sequence and a target period to be predicted, total shipment volume information of the target item within a target period through a shipment prediction model, the shipment prediction model including a plurality of parallel first time sequence sub-models and a weighted sub-model which is connected to an output of each of the first time sequence sub-models, and scheduling the target item in the target warehouse according to the total shipment volume information and current inventory information of the target item in the target warehouse.
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公开(公告)号：US20220350972A1
公开(公告)日：2022-11-03
申请号：US17519515
申请日：2021-11-04
发明人： Dezhi XU , Wen DAI , Yan LIU , Huiwen LIU , Shuai CHEN
IPC分类号： G06F40/30 , G06F40/205 , G06F40/295
摘要： Methods, electronic device, and non-transitory computer-readable storage mediums are provided for semantic parsing. The equipment may obtain a first recognition result of a target statement. The first recognition result may include a first intention recognition result and a first entity recognition result. The first entity recognition result may correspond to a plurality of vertical domains. The equipment may also determine one of the plurality of vertical domains corresponding to the first entity recognition result as a target vertical domain corresponding to the target statement according to the first intention recognition result. The equipment may further convert the first entity recognition result into a second entity recognition result in the target vertical domain. The equipment may also parse an intention of the target statement according to the second entity recognition result.
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10.发明授权公开(公告)号：US11475879B2
公开(公告)日：2022-10-18
申请号：US16994323
申请日：2020-08-14
IPC分类号： G10L15/14
摘要： Text content is determined. The text content is input to a content classifying model. The content classifying model is adapted to determine a probability of the text content belonging to a category. An evaluated value of quality of the text content is determined according to the probability of the category and a weight of the category. The weight represents importance of the category.
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