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公开(公告)号:US20240265021A1
公开(公告)日:2024-08-08
申请号:US18621463
申请日:2024-03-29
申请人: Telepathy Labs, Inc.
发明人: Stephen Brown , Xiao-Ming Zhou
IPC分类号: G06F16/2458 , G06F16/22 , G06F16/2455
CPC分类号: G06F16/2471 , G06F16/2246 , G06F16/24556
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.
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公开(公告)号:US20230368775A1
公开(公告)日:2023-11-16
申请号:US18346694
申请日:2023-07-03
申请人: TELEPATHY LABS, INC.
发明人: Piero Perucci , Martin Reber , Vijeta Avijeet
IPC分类号: G10L13/047 , G06N3/08 , G10L13/08 , G10L25/51
CPC分类号: G10L13/047 , G06N3/08 , G10L13/08 , G10L25/51
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.
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公开(公告)号:US11775891B2
公开(公告)日:2023-10-03
申请号:US16050181
申请日:2018-07-31
申请人: Telepathy Labs, Inc.
发明人: Stephen Brown , Martin Reber , Vijeta Avijeet , Josselyn Boudett
IPC分类号: G06Q10/0631 , G06N5/022 , G06F9/54 , G06N20/00 , G06F16/9535
CPC分类号: G06Q10/0631 , G06F9/547 , G06F16/9535 , G06N5/022 , G06N20/00
摘要: An omni-channel, intelligent, proactive virtual agent system and method of use are provided by which a user may engage in a conversation with the agent to interact with structured and unstructured data of an enterprise that is stored in a domain-specific world model for the enterprise.
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公开(公告)号:US11735161B2
公开(公告)日:2023-08-22
申请号:US17589449
申请日:2022-01-31
申请人: Telepathy Labs, Inc.
发明人: Martin Reber , Vijeta Avijeet
IPC分类号: G10L25/30 , G10L13/08 , G06N5/02 , G06N3/02 , G10L19/00 , G10L13/04 , G06N3/08 , G06F18/10 , G06F18/21 , G06F18/2135 , G06N3/042
CPC分类号: G10L13/08 , G06F18/10 , G06F18/217 , G06F18/2135 , G06N3/02 , G06N3/042 , G06N3/08 , G06N5/02 , G10L13/04 , G10L19/00
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.
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公开(公告)号:US11615127B2
公开(公告)日:2023-03-28
申请号:US16965526
申请日:2019-01-28
申请人: Telepathy Labs, Inc.
发明人: Mijail Arcienega , Bilyana Taneva , Elisabetta Carta , Stephen Brown , Lawrence Seth Lefkowitz , Josselyn Boudett
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.
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公开(公告)号:US10373605B2
公开(公告)日:2019-08-06
申请号:US16022823
申请日:2018-06-29
申请人: Telepathy Labs, Inc.
发明人: Martin Reber , Vijeta Avijeet
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.
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公开(公告)号:US09904891B2
公开(公告)日:2018-02-27
申请号:US15229799
申请日:2016-08-05
申请人: Telepathy Labs, Inc.
发明人: Damien Phelan Stolarz , David Joseph Diaz , James Rossfeld , Scott Raven , Christopher O'Malley , Christopher Kurpinski
CPC分类号: G06N7/005 , G06F3/01 , G06F3/012 , G06F3/0482 , G06F3/14 , G06F17/30389 , G06F2203/011 , G06N5/04
摘要: To simplify assisting a user in their day-to-day activities, a communication for performing an action may be sent to a user in the form of a query, where the query includes the most likely set of choices for the action arranged in a group of dichotomous (e.g., yes/no) or multiple choice answers. In this manner, a user may respond to the query by simply selecting one of the dichotomous or multiple choice answers. Historical logs of past actions, responses, queries, and so forth, may be used to predict future user actions or needs, and to formulate future queries for sending to the user. These techniques may be implemented, for example, through a remote coordination server or directly through a user's personal electronics device.
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公开(公告)号:US11921762B2
公开(公告)日:2024-03-05
申请号:US18083166
申请日:2022-12-16
申请人: Telepathy Labs, Inc.
发明人: Mijail Arcienega , Bilyana Taneva , Elisabetta Carta , Stephen Brown , Lawrence Seth Lefkowitz , Josselyn Boudett
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.
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公开(公告)号:US20220375452A1
公开(公告)日:2022-11-24
申请号:US17880007
申请日:2022-08-03
申请人: Telepathy Labs, Inc.
发明人: Piero Perucci , Martin Reber , Vijeta Avijeet
IPC分类号: G10L13/047 , G06N3/08 , G10L13/08 , G10L25/51
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.
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公开(公告)号:US20220130378A1
公开(公告)日:2022-04-28
申请号:US17418679
申请日:2019-12-20
申请人: Telepathy Labs, Inc.
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.
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