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公开(公告)号:US11113859B1
公开(公告)日:2021-09-07
申请号:US16507862
申请日:2019-07-10
发明人: Tong Xiao , Sidi Fu , Mengqian Liu , Peihong Guo , Shu Liang , Evgeny Zatepyakin
摘要: Disclosed herein includes a system, a method, and a non-transitory computer readable medium for rendering a three-dimensional (3D) model of an avatar according to an audio stream including a vocal output of a person and image data capturing a face of the person. In one aspect, phonemes of the vocal output are predicted according to the audio stream, and the predicted phonemes of the vocal output are translated into visemes. In one aspect, a plurality of blendshapes and corresponding weights are determined, according to the corresponding image data of the face, to form the 3D model of the avatar of the person. The visemes may be combined with the 3D model of the avatar to form a 3D representation of the avatar, by synchronizing the visemes with the 3D model of the avatar in time.
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公开(公告)号:US11113742B2
公开(公告)日:2021-09-07
申请号:US16575644
申请日:2019-09-19
IPC分类号: G06Q30/06 , G06N20/00 , G06F16/25 , G06F16/2457 , H04L29/08 , H04L29/06 , G06N3/08 , G06N20/10 , G06F40/44 , G06F40/45 , G06F40/55
摘要: One or more aspects of the disclosure generally relate to computing devices, computing systems, and computer software that may be used for capturing and extracting fragmented data and for data processing using machine learning. Some aspects disclosed herein are directed to, for example, a system and method comprising generating a display for receiving fragmented data associated with a user. The method may comprise sending, to a user device associated with the user, the display for receiving fragmented data. A computing device may receive, from the user device and via the display for receiving fragmented data, first fragmented data associated with the user. The computing device may extract a plurality of data entries from the first fragmented data. A request for data associated with a first data entry of the plurality of data entries may be sent to the user device. The computing device may determine a data category for each data entry of the plurality of data entries. Based on the determined data category for each data entry of the plurality of data entries, the method may comprise determining one or more of a number of entries in each data category or an amount associated with each data category.
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公开(公告)号:US11113480B2
公开(公告)日:2021-09-07
申请号:US16336870
申请日:2017-09-25
申请人: GOOGLE LLC
发明人: Mohammad Norouzi , Zhifeng Chen , Yonghui Wu , Michael Schuster , Quoc V. Le
摘要: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for neural machine translation. One of the systems includes an encoder neural network comprising: an input forward long short-term memory (LSTM) layer configured to process each input token in the input sequence in a forward order to generate a respective forward representation of each input token, an input backward LSTM layer configured to process each input token in a backward order to generate a respective backward representation of each input token and a plurality of hidden LSTM layers configured to process a respective combined representation of each of the input tokens in the forward order to generate a respective encoded representation of each of the input tokens; and a decoder subsystem configured to receive the respective encoded representations and to process the encoded representations to generate an output sequence.
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公开(公告)号:US11106879B2
公开(公告)日:2021-08-31
申请号:US16390317
申请日:2019-04-22
发明人: Wael Farhan , Analle Abuammar , Bashar Talafha
IPC分类号: G06F40/58 , G06F40/51 , G06F40/45 , G06F40/44 , G06F40/242 , G06F40/289 , G06F40/263
摘要: A multilingual translation device and method. The multilingual translation device may obtain a multilingual sentence, obtain vector values corresponding to words included in the multilingual sentence by using a multilingual translation model, convert the obtained vector values into vector values corresponding to a target language, and obtain a sentence in the target language, based on the vector values corresponding to the target language.
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公开(公告)号:US11048884B2
公开(公告)日:2021-06-29
申请号:US17060198
申请日:2020-10-01
申请人: SAS Institute Inc.
IPC分类号: G06F40/44 , G06F16/903 , G06F40/30 , G06F40/247 , G06F40/284
摘要: A computing system receives a collection comprising multiple sets of ordered terms, including a first set. The system generates a dataset indicating an association between each pair of terms within a same set of the collection by generating co-occurrence score(s) for the first set. The system generates computed probabilities based on the co-occurrence score(s) for the first set. The computed probabilities indicate a likelihood that one term in a given pair of terms of the collection appears in a given set of the collection given that another term in the given pair of terms of the collection occurs. The system smoothes the computed probabilities by adding one or more random observations. The system generates one or more association indications for the first set based on the smoothed computed probabilities. The system outputs an indication of the dataset. Additionally, or alternatively, based on association measure(s), the system generates a virtual term.
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公开(公告)号:US11031003B2
公开(公告)日:2021-06-08
申请号:US15990405
申请日:2018-05-25
摘要: Technology is disclosed for providing dynamic identification and extraction or tagging of contextually-coherent text blocks from an electronic document. In an embodiment, an electronic document may be parsed into a plurality of content tokens that each corresponds to a portion of the electronic document, such as a sentence or a paragraph. Employing a sliding window approach, a number of token groups are independently analyzed, where each group of tokens has a different number of tokens included therein. Each token group is analyzed to determine confidence scores for various determinable contexts based on content included in the token set. The confidence scores can then be processed for each token group to determine an entropy score for the token group. In this way, one of the analyzed token groups can be selected as a representative text block that corresponds to one of the plurality of determinable contexts. A corresponding portion of the electronic document can be tagged with a corresponding context determined based on the analyzed content included therein, and provided for output.
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公开(公告)号:US20210158789A1
公开(公告)日:2021-05-27
申请号:US16625624
申请日:2017-06-21
发明人: Xianchao WU , Kazushige ITO , Kazuna TSUBOI
IPC分类号: G10H1/00 , G06F40/216 , G06F40/35 , G06F40/44 , G06N3/04
摘要: The present disclosure provides method and apparatus for providing personalized songs in automated chatting. A message may be received in a chat flow. Personalized lyrics of a user may be generated based at least on a personal language model of the user in response to the message. A personalized song may be generated based on the personalized lyrics. The personalized song may be provided in the chat flow.
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公开(公告)号:US10990765B2
公开(公告)日:2021-04-27
申请号:US16745947
申请日:2020-01-17
发明人: Jihyun Lee , Hoshik Lee
IPC分类号: G06F17/28 , G06F17/20 , G06F40/47 , G06F40/30 , G06F40/44 , G06F40/56 , G06F40/242 , G06F40/247
摘要: A sentence generating method includes: generating a corresponding word set of a source word set generated based on a source sentence; generating words by performing decoding based on feature vectors generated through encoding of the source sentence; adjusting a probability of at least one of the generated words based either one or both of the source word set and the corresponding word set; and selecting character strings from different character strings including each of the generated words based on the adjusted probability and the probability as unadjusted.
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公开(公告)号:US10943074B2
公开(公告)日:2021-03-09
申请号:US16257070
申请日:2019-01-25
摘要: A translation device includes an input unit and a controller. The input unit obtains first text data in a first language. The controller generates second text data in a second language that is a translation of the first text data. The controller further generates first replacement data by replacing a first term, of a predetermined type, contained in the first text data by a parameter, obtains second replacement data, in the second language, corresponding to the first replacement data, and generates the second text data by replacing the parameter contained in the second replacement data by a second term in the second language that is a translation of the first term.
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公开(公告)号:US10902217B1
公开(公告)日:2021-01-26
申请号:US16117745
申请日:2018-08-30
申请人: Dessert Labs PBC
摘要: The present disclosure provides methods and systems for generating a rule for machine translation. The method comprises receiving a user input indicating a change of a rule; retrieving a prior version of the rule from a storage unit upon receiving the user input; identifying one or more metrics from a plurality of metrics based at least in part on the prior version of the rule; computing, with aid of one or more processors, a value for each of the one or more metrics by evaluating each metric against a set of examples, wherein the value represents the impact of the change of the rule; and comparing the value to a pre-determined threshold to determine whether the change of the rule is acceptable.
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