SYSTEM AND METHOD FOR QUERYING MULTIPLE DATA SOURCES

    公开(公告)号:US20240265021A1

    公开(公告)日:2024-08-08

    申请号:US18621463

    申请日:2024-03-29

    摘要: A computing system for querying multiple data sources and method therefor is provided. The computing system may comprise one or more nodes in communication with at least one data source of the multiple data sources to access data therefrom. The computing system may further comprise a second node in communication with the one or more nodes. The second node may be configured to receive a query instance and process the query instance to generate one or more relational query instances. The one or more relational query instances may be distributed among the nodes to extract data from the at least one data source in communication therewith corresponding to the respective one or more relational query instances. The second node may be further configured to receive extracted data from each of the one or more nodes queried. The second node may be further configured to aggregate the extracted data.

    TEXT-TO-SPEECH SYNTHESIS SYSTEM AND METHOD
    2.
    发明公开

    公开(公告)号:US20230368775A1

    公开(公告)日:2023-11-16

    申请号:US18346694

    申请日:2023-07-03

    摘要: A method, computer program product, and computer system for text-to-speech synthesis is disclosed. Synthetic speech data for an input text may be generated. The synthetic speech data may be compared to recorded reference speech data corresponding to the input text. Based on, at least in part, the comparison of the synthetic speech data to the recorded reference speech data, at least one feature indicative of at least one difference between the synthetic speech data and the recorded reference speech data may be extracted. A speech gap filling model may be generated based on, at least in part, the at least one feature extracted. A speech output may be generated based on, at least in part, the speech gap filling model.

    Domain assistant system and method

    公开(公告)号:US11615127B2

    公开(公告)日:2023-03-28

    申请号:US16965526

    申请日:2019-01-28

    IPC分类号: G06F16/00 G06F16/332

    摘要: A method, computer program product, and computer system identifying, by a computing device, an intent relating to a query associated with an object. A plurality of informational items associated with the object may be identified. At least a first informational item of the plurality of informational items associated with the object for which a first portion of information is already known may be identified. At least a second informational item of the plurality of informational items associated with the object for which a second portion of information is unknown may be identified. A question may be generated to determine the second portion of information based upon, at least in part, the second portion of information being unknown. An answer may be received for the question generated to determine the second portion of information. A response to the intent relating to the query may be provided based upon, at least in part, at least the first informational item for which the first portion of information is already known and the answer for the question generated to determine the second portion of information.

    Artificial intelligence-based text-to-speech system and method

    公开(公告)号:US10373605B2

    公开(公告)日:2019-08-06

    申请号:US16022823

    申请日:2018-06-29

    摘要: A technique improves training and speech quality of a text-to-speech (TTS) system having an artificial intelligence, such as a neural network. The TTS system is organized as a front-end subsystem and a back-end subsystem. The front-end subsystem is configured to provide analysis and conversion of text into input vectors, each having at least a base frequency, f0, a phenome duration, and a phoneme sequence that is processed by a signal generation unit of the back-end subsystem. The signal generation unit includes the neural network interacting with a pre-existing knowledgebase of phenomes to generate audible speech from the input vectors. The technique applies an error signal from the neural network to correct imperfections of the pre-existing knowledgebase of phenomes to generate audible speech signals. A back-end training system is configured to train the signal generation unit by applying psychoacoustic principles to improve quality of the generated audible speech signals.

    Domain assistant system and method

    公开(公告)号:US11921762B2

    公开(公告)日:2024-03-05

    申请号:US18083166

    申请日:2022-12-16

    IPC分类号: G06F16/00 G06F16/332

    CPC分类号: G06F16/3329

    摘要: A method, computer program product, and computer system identifying an intent relating to a query associated with an object. A plurality of informational items associated with the object may be identified. At least a first informational item associated with the object for which a first portion of information is already known may be identified. At least a second informational item associated with the object for which a second portion of information is unknown may be identified. A question may be generated to determine the second portion of information based upon the second portion of information being unknown. An answer may be received to determine the second portion of information. A response to the intent relating to the query may be provided based upon the first informational item for which the first portion of information is already known and the answer for the question generated to determine the second portion of information.

    TEXT-TO-SPEECH SYNTHESIS SYSTEM AND METHOD

    公开(公告)号:US20220375452A1

    公开(公告)日:2022-11-24

    申请号:US17880007

    申请日:2022-08-03

    摘要: A method, computer program product, and computer system for text-to-speech synthesis is disclosed. Synthetic speech data for an input text may be generated. The synthetic speech data may be compared to recorded reference speech data corresponding to the input text. Based on, at least in part, the comparison of the synthetic speech data to the recorded reference speech data, at least one feature indicative of at least one difference between the synthetic speech data and the recorded reference speech data may be extracted. A speech gap filling model may be generated based on, at least in part, the at least one feature extracted. A speech output may be generated based on, at least in part, the speech gap filling model.

    SYSTEM AND METHOD FOR COMMUNICATING WITH A USER WITH SPEECH PROCESSING

    公开(公告)号:US20220130378A1

    公开(公告)日:2022-04-28

    申请号:US17418679

    申请日:2019-12-20

    发明人: Vijeta Avijeet

    摘要: A method and speech processing system for communicating with a user is provided. A speech signal may be received. The received speech signal may be processed by a first unified neural network to extract one or more of intents and entities. The one or more of intents and entities may be analyzed to generate a dialogue response. A second unified neural network may generate a speech output corresponding to the dialogue response for the user. In another example, a single unified neural network may process the received speech signal to extract one or more of intents and entities. The one or more of intents and entities may be analyzed, by the single unified neural network, to generate a dialogue response. The single unified neural network may generate a speech output corresponding to the dialogue response for the user.