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公开(公告)号:US12008327B2
公开(公告)日:2024-06-11
申请号:US18088595
申请日:2022-12-25
IPC分类号: G06F16/242 , G06F16/31 , G06F16/332 , G06F16/951 , G06F40/123 , G06F40/126 , G06F40/20 , G06F40/205 , G06F40/211 , G06F40/226 , G06F40/242 , G06F40/279 , G06F40/30 , G06F40/35 , G06F40/45 , G06F40/47 , G06F40/58 , G06N3/0442 , G06N3/0455 , G06N3/0499 , G06N3/08 , G06N3/091 , G06N5/02 , G06Q10/1053 , G06Q30/0251 , G06Q30/0601 , G10L15/08 , G10L15/16 , G10L15/18 , G10L15/22 , G10L15/26 , G10L25/63 , G16H10/60 , H04L51/02
CPC分类号: G06F40/35 , G06F16/243 , G06F16/322 , G06F16/3329 , G06F16/951 , G06F40/123 , G06F40/126 , G06F40/20 , G06F40/205 , G06F40/211 , G06F40/226 , G06F40/242 , G06F40/279 , G06F40/30 , G06F40/45 , G06F40/47 , G06F40/58 , G06N3/0442 , G06N3/0455 , G06N3/0499 , G06N3/08 , G06N5/02 , G06Q10/1053 , G06Q30/0255 , G06Q30/0257 , G06Q30/0631 , G10L15/16 , G10L15/1815 , G10L15/22 , G10L15/26 , G10L25/63 , G16H10/60 , H04L51/02 , G06N3/091 , G10L2015/088
摘要: A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of: (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (‘machine representation’); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.
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公开(公告)号:US11947901B2
公开(公告)日:2024-04-02
申请号:US17810750
申请日:2022-07-05
发明人: Trevor McGuire
IPC分类号: G06F40/166 , G06F40/126 , G06F40/143 , G06F40/279
CPC分类号: G06F40/166 , G06F40/126 , G06F40/143 , G06F40/279
摘要: A method for facilitating automated data curation in real-time is disclosed. The method includes retrieving electronic documents from a source; converting the electronic documents into data sets, the data sets corresponding to a predetermined format; preprocessing the data sets to identify linguistic units, the linguistic units relating to paragraphs and sentences; extracting, by using a model, attributes based on the linguistic units, the attributes relating to a key detail in the electronic documents; and generating, in real-time, messages based on the extracted attributes. Additionally, the electronic documents include a corporate action prospectus that provides information for a corresponding corporate event, the information including term and condition information, date information, and restriction information.
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公开(公告)号:US20240086644A1
公开(公告)日:2024-03-14
申请号:US18517688
申请日:2023-11-22
IPC分类号: G06F40/35 , G06F16/242 , G06F16/31 , G06F16/332 , G06F16/951 , G06F40/123 , G06F40/126 , G06F40/20 , G06F40/205 , G06F40/211 , G06F40/226 , G06F40/242 , G06F40/279 , G06F40/30 , G06F40/45 , G06F40/47 , G06F40/58 , G06N3/0442 , G06N3/0455 , G06N3/0499 , G06N3/08 , G06N5/02 , G06Q10/1053 , G06Q30/0251 , G06Q30/0601 , G10L15/16 , G10L15/18 , G10L15/22 , G10L15/26 , G10L25/63 , G16H10/60 , H04L51/02
CPC分类号: G06F40/35 , G06F16/243 , G06F16/322 , G06F16/3329 , G06F16/951 , G06F40/123 , G06F40/126 , G06F40/20 , G06F40/205 , G06F40/211 , G06F40/226 , G06F40/242 , G06F40/279 , G06F40/30 , G06F40/45 , G06F40/47 , G06F40/58 , G06N3/0442 , G06N3/0455 , G06N3/0499 , G06N3/08 , G06N5/02 , G06Q10/1053 , G06Q30/0255 , G06Q30/0631 , G10L15/16 , G10L15/1815 , G10L15/22 , G10L15/26 , G10L25/63 , G16H10/60 , H04L51/02 , G10L2015/088
摘要: A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of: (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (‘machine representation’); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.
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公开(公告)号:US11908448B2
公开(公告)日:2024-02-20
申请号:US17327076
申请日:2021-05-21
申请人: Google LLC
发明人: Isaac Elias , Jonathan Shen , Yu Zhang , Ye Jia , Ron J. Weiss , Yonghui Wu , Byungha Chun
IPC分类号: G10L13/08 , G10L13/047 , G06F40/126 , G10L21/10 , G06N3/08 , G06N3/088 , G06N3/044 , G06N3/045 , G06N3/048
CPC分类号: G10L13/08 , G06F40/126 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/088 , G10L13/047 , G10L21/10 , G06N3/048
摘要: A method for training a non-autoregressive TTS model includes receiving training data that includes a reference audio signal and a corresponding input text sequence. The method also includes encoding the reference audio signal into a variational embedding that disentangles the style/prosody information from the reference audio signal and encoding the input text sequence into an encoded text sequence. The method also includes predicting a phoneme duration for each phoneme in the input text sequence and determining a phoneme duration loss based on the predicted phoneme durations and a reference phoneme duration. The method also includes generating one or more predicted mel-frequency spectrogram sequences for the input text sequence and determining a final spectrogram loss based on the predicted mel-frequency spectrogram sequences and a reference mel-frequency spectrogram sequence. The method also includes training the TTS model based on the final spectrogram loss and the corresponding phoneme duration loss.
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公开(公告)号:US20230379135A1
公开(公告)日:2023-11-23
申请号:US18221665
申请日:2023-07-13
申请人: SAP SE
发明人: Anselme Tueno , Yordan Boev , Florian Kerschbaum
IPC分类号: H04L9/00 , G06N20/10 , G06F40/126 , G06F40/205 , H04L9/06 , G06N5/01
CPC分类号: H04L9/008 , G06N20/10 , G06F40/126 , G06F40/205 , H04L9/0618 , G06N5/01 , H04L2209/08
摘要: A non-interactive protocol is provided for evaluating machine learning models such as decision trees. A client can delegate the evaluation of a machine learning model such as a decision tree to a server by sending an encrypted input and receiving only the encryption of the result. The inputs can be encoded as vector of integers using their binary representation. The server can then evaluate the machine learning model using a homomorphic arithmetic circuit. The homomorphic arithmetic circuit provides an implementation that requires fewer multiplication than a Boolean comparison circuit. Efficient data representations are then combined with different algorithmic optimizations to keep the computational overhead and the communication cost low. Related apparatus, systems, techniques and articles are also described.
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公开(公告)号:US20230214605A1
公开(公告)日:2023-07-06
申请号:US17931002
申请日:2022-09-09
申请人: NAVER CORPORATION
IPC分类号: G06F40/58 , G06F40/126 , G06F40/47 , G06N3/08
CPC分类号: G06F40/58 , G06F40/126 , G06F40/47 , G06N3/088
摘要: Methods and systems for unsupervised training for a neural multilingual sequence-to-sequence (seq2seq) model. Denoising adapters for each of one or more languages is inserted into an encoder and/or a decoder of the seq2seq model. Parameters of the one or more denoising adapters are trained on a language-specific denoising task using monolingual text for each of the one or more languages. Cross-attention weights of the seq2seq model with the trained denoising adapter layers are fine-tuned on a translation task in at least one of the one or more languages with parallel data.
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公开(公告)号:US20230136462A1
公开(公告)日:2023-05-04
申请号:US18088575
申请日:2022-12-25
IPC分类号: G06F40/35 , G06F40/242 , G06F40/279 , G06F40/126
摘要: A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of: (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (‘machine representation’); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.
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公开(公告)号:US20230130902A1
公开(公告)日:2023-04-27
申请号:US17908212
申请日:2020-03-03
发明人: Itsumi SAITO , Kyosuke NISHIDA , Kosuke NISHIDA , Hisako ASANO , Junji TOMITA
IPC分类号: G06F40/40 , G06F40/279 , G06F40/126
摘要: A text generation apparatus includes a processor and a memory storing program instructions that cause the processor to receive an input sentence including one or more words and generate a sentence: estimate an importance of each word included in the input sentence and encode the input sentence; and take the importance and a result of encoding the input sentence as inputs to generate the sentence based on the input sentence. The processor uses a neural network based on learned parameters. This improves the accuracy of sentence generation.
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公开(公告)号:US20230036196A1
公开(公告)日:2023-02-02
申请号:US17386477
申请日:2021-07-27
发明人: Octavian Popescu , Vadim Sheinin , Bijan Davari , Gheorghe Almasi
IPC分类号: G06F40/126 , G06F40/284 , G06F17/14 , G06F16/31 , H03M7/30
摘要: An embodiment of the present invention is a prime representation data structure in a computer architecture. The prime representation data structure has a plurality of records where each record contains a prime representation and where the prime representation is a product of two or more selected prime factors. Each of the selected prime factor associated with an n-gram of a domain representation of a domain string. The domain representation of the domain string is a domain string of ordered, contiguous domain characters. The n-gram being a subset of n number of the ordered, contiguous domain characters in the domain string. The computer architecture performs string searching and includes one or more central processing units (CPUs) with one or more operating systems, one or more input/output device interfaces, one or more memories, and one or more input/output devices. The architecture further includes the prime representation data structure, one or more prime target query data structures and a search process performed by one or more of the CPUs. The CPUs can be organized in a hierarchical structure. The prime target query data structure has one or more target prime queries. Each target prime query is the product of one or more target selected prime factors. Each target selected factor is associated with a target n-gram of a target domain representation of a target domain string. The search process, performed by one or more of the CPUs, determines whether one or more of the target selected prime factors is common with one of the selected prime factors. By performing this efficient testing, the computer system can determine if one or more small strings are included in one or more large strings.
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公开(公告)号:US11557141B2
公开(公告)日:2023-01-17
申请号:US16720289
申请日:2019-12-19
发明人: Liwei Ren , Qiaoyue Wang
IPC分类号: G06F16/13 , G06V30/418 , G06F40/126
摘要: Methods, apparatuses, and storage media storing instructions for classifying text documents are provided. A plurality of text documents is obtained. The plurality of text documents is classified into one or more document categories based on a plurality of classification rules. Each of the one or more document categories include one or more first text documents of the plurality of text documents. A second text document of the plurality of text documents is classified based on the plurality of classification rules as belonging to none of the one or more document categories. One or more document fingerprints are generated for respective first text documents in the one or more document categories. The second text document is classified into one of the one or more document categories based on the one or more document fingerprints.
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