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    Method and system for providing menu tree assistance
    31.
    发明授权
    Method and system for providing menu tree assistance 有权
    提供菜单树协助的方法和系统

    公开(公告)号：US07783305B2

    公开(公告)日：2010-08-24

    申请号：US11370684

    申请日：2006-03-08

    Applicant: Steven J. Ross ,  Richard A. Johnson

    Inventor： Steven J. Ross ,  Richard A. Johnson

    IPC: H04W24/00

    CPC classification number: H04M3/4936 ,  G10L15/26 ,  H04M3/51 ,  H04M11/002 ,  H04M2201/405 ,  H04M2203/254

    Abstract: A method for providing menu tree assistance includes receiving a voice request from a user via a telematics unit and a wireless network and determining a voice menu tree based on the voice request. The method further includes receiving at least one response based on the voice menu tree, determining a failure or confirmation based on the at least one response and converting the response to data based on the determined confirmation. The method further includes recording the response based on the determined failure and providing the recorded response and data to an advisor at a call center. A system and a computer readable medium including computer program code are also disclosed.

    Abstract translation: 提供菜单树辅助的方法包括经由远程信息处理单元和无线网络从用户接收语音请求，并且基于语音请求确定语音菜单树。 该方法还包括基于语音菜单树接收至少一个响应，基于所述至少一个响应确定故障或确认，并且基于所确定的确认将响应转换为数据。 该方法还包括基于所确定的故障记录响应并将记录的响应和数据提供给呼叫中心的顾问。 还公开了一种包括计算机程序代码的系统和计算机可读介质。

    Speech recognition system for electronic switches in a non-wireline communications network
    32.
    发明申请
    Speech recognition system for electronic switches in a non-wireline communications network 失效

    公开(公告)号：US20030087675A1

    公开(公告)日：2003-05-08

    申请号：US10308653

    申请日：2002-12-03

    Applicant: Koninklijke Philips Electronics N.V.

    Inventor： Bernard F. Bareis ,  Thomas B. Schalk ,  Peter J. Foster

    IPC: H04M001/68 ,  H04M003/42 ,  H04M001/00 ,  H04B001/38

    CPC classification number: H04W4/18 ,  H04B7/18567 ,  H04M3/42204 ,  H04M3/4936 ,  H04M11/10 ,  H04M2201/40 ,  H04M2201/405 ,  H04W4/00 ,  H04W88/18

    Abstract: An advanced telecommunications system is provided for the recognizing of spoken commands over a cellular telephone, satellite telephone, or personal communications network. In the cellular application, for example, a Speech Recognition System interconnects either internally with or as an external peripheral to a cellular telecommunications switch. The Speech Recognition System includes an administrative subsystem, a call processing subsystem, a speaker-dependent recognition subsystem, a speaker-independent recognition subsystem, and a data storage subsystem. The Speech Recognition System also allows for increased efficiency in the cellular telephone network by integrating with the switch or switches as a shared resource. The administrative subsystem of the Speech Recognition System is used to keep statistical logs of pertinent call information. Pre-recorded instructional messages are stored in the memory of the call processing subsystem for instructing a user on his or her progress in using the system. The speaker-independent recognition subsystem allows the user to interact with the system employing non-user specific functions. User specific functions are controlled with the speaker-dependent recognition subsystem. User specific attributes collected by the recognition subsystems are stored in the data storage subsystem.

    SYSTEMS AND METHODS FOR PHISHING MONITORING
    36.
    发明公开
    SYSTEMS AND METHODS FOR PHISHING MONITORING 审中-公开

    公开(公告)号：US20230262160A1

    公开(公告)日：2023-08-17

    申请号：US17650868

    申请日：2022-02-14

    Applicant: CAPITAL ONE SERVICES, LLC

    Inventor： Dwij TRIVEDI ,  Jennifer LOPEZ

    IPC: H04M3/22 ,  H04M3/42 ,  H04M3/436 ,  G06F3/0481 ,  G10L25/72 ,  G10L25/51 ,  G10L15/22

    CPC classification number: H04M3/2281 ,  H04M3/42221 ,  H04M3/42102 ,  H04M3/4365 ,  H04M3/2218 ,  G06F3/0481 ,  G10L25/72 ,  G10L25/51 ,  G10L15/22 ,  H04M2201/405

    Abstract: Disclosed are methods and systems for voice phishing monitoring. For instance, a method includes receiving voice data of an incoming call to a communication device from an application associated with a user account and executing on the device, identifying an entity and interaction allegedly associated with the incoming call from the voice data, determining first fraud indicator data based on a number of the incoming call and second fraud indicator data based on a correspondence of user account interaction data to the entity and/or interaction, and providing the voice data to a trained machine learning system to receive third fraud indicator data based on content and/or a voice characteristic identified from the voice data. The method may further include determining a status for the incoming call of fraudulent or confirmed based on the first, second, and third fraud indicator data, and generating a notification indicating the status for display.

    Systems and methods for prioritizing emergency calls
    37.
    发明授权
    Systems and methods for prioritizing emergency calls 有权

    公开(公告)号：US11659093B2

    公开(公告)日：2023-05-23

    申请号：US17837094

    申请日：2022-06-10

    Applicant: NICE LTD.

    Inventor： Roman Frenkel ,  Tal Raskin ,  Adi Ben Zeev ,  Stav Mishory ,  Dan Teplitski ,  Hadas Katz

    IPC: H04M3/523 ,  G06F40/295 ,  G10L15/02 ,  G10L15/26 ,  H04M3/51

    CPC classification number: H04M3/5235 ,  G06F40/295 ,  G10L15/02 ,  G10L15/26 ,  H04M3/5116 ,  H04M3/5166 ,  H04M3/5183 ,  H04M2201/405

    Abstract: Systems for and methods of determining the priority of a call interaction include receiving a call interaction from a call center; validating, by a validation and transcription engine, that the call interaction is authentic; converting, by the validation and transcription engine, the call interaction into text; extracting, by a data calculation engine, organization, location, and time information from the text; calculating, by the data calculation engine, a priority of the call interaction from the extracted information and the text by determining an important of words in the text and correlating the words to a priority class using a pre-trained algorithm that is trained on emergency-type and emergency services-type language; determining that the call interaction should be transmitted to a queue of the call center for initial handling by a call center agent; and transmitting the call interaction, the calculated priority, and the extracted information to the call center.

    Caller identification apparatus, caller identification method, and recording medium on which caller identification program has been stored
    39.
    发明授权
    Caller identification apparatus, caller identification method, and recording medium on which caller identification program has been stored 有权

    公开(公告)号：US09860373B2

    公开(公告)日：2018-01-02

    申请号：US15319237

    申请日：2015-06-12

    Applicant: NEC Corporation

    Inventor： Tomoki Murakami

    IPC: H04M1/64 ,  H04M3/42 ,  G10L17/06 ,  G10L17/22 ,  G10L17/02

    CPC classification number: H04M3/42059 ,  G10L17/00 ,  G10L17/02 ,  G10L17/06 ,  G10L17/22 ,  H04M3/42221 ,  H04M11/04 ,  H04M2201/18 ,  H04M2201/405 ,  H04M2203/6027 ,  H04M2203/6045

    Abstract: A caller identification apparatus, in order to make, with higher precision, a sharp distinction between a call from a fraud and a call from a person who is not a fraud, comprises a storage means and a voice characteristic analysis means. The storage means stores both a white list with which first voice characteristic information, which is the voice characteristic information of closely related persons of a call recipient, is registered and a black list with which second voice characteristic information, which is the voice characteristic information of frauds, is registered. The voice characteristic analysis means acquires the voice data of a call, obtains third voice characteristic information, which is the voice characteristic information of the voice data, and determines whether the third voice characteristic information matches the first voice characteristic information or the second voice characteristic information. If the third voice characteristic information matches neither the first voice characteristic information nor the second voice characteristic information, the voice characteristic analysis means determines whether the third voice characteristic information includes the voice characteristic information of any multiple persons. If the third voice characteristic information includes the voice characteristic information of any multiple persons, the voice characteristic analysis means obtains a first determination result that the call is probably a call from said frauds.

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