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    System and method for building diverse language models
    1.
    发明授权
    System and method for building diverse language models 有权

    公开(公告)号：US11328121B2

    公开(公告)日：2022-05-10

    申请号：US15670246

    申请日：2017-08-07

    申请人： Nuance Communications, Inc.

    发明人： Luciano De Andrade Barbosa ,  Srinivas Bangalore

    IPC分类号： G06F17/28 ,  G06F40/216 ,  G06F40/40 ,  G06F40/10 ,  G06F40/205 ,  G06F40/242 ,  G06F40/279 ,  G10L15/06

    摘要： Disclosed herein are systems, methods, and non-transitory computer-readable storage media for collecting web data in order to create diverse language models. A system configured to practice the method first crawls, such as via a crawler operating on a computing device, a set of documents in a network of interconnected devices according to a visitation policy, wherein the visitation policy is configured to focus on novelty regions for a current language model built from previous crawling cycles by crawling documents whose vocabulary considered likely to fill gaps in the current language model. A language model from a previous cycle can be used to guide the creation of a language model in the following cycle. The novelty regions can include documents with high perplexity values over the current language model.

    System and Method for Improving Speech Recognition Accuracy Using Textual Context
    4.
    发明申请
    System and Method for Improving Speech Recognition Accuracy Using Textual Context 审中-公开

    公开(公告)号：US20200058318A9

    公开(公告)日：2020-02-20

    申请号：US15911678

    申请日：2018-03-05

    申请人： Nuance Communications, Inc.

    发明人： Dan MELAMED ,  Srinivas Bangalore ,  Michael JOHNSTON

    IPC分类号： G10L25/51 ,  G10L15/05 ,  G10L17/04 ,  G10L15/30 ,  G10L15/19 ,  G06F3/16 ,  G10L15/18 ,  G10L15/07 ,  G10L15/22 ,  G10L15/183

    摘要： Disclosed herein are systems, methods, and computer-readable storage media for improving speech recognition accuracy using textual context. The method includes retrieving a recorded utterance, capturing text from a device display associated with the spoken dialog and viewed by one party to the recorded utterance, and identifying words in the captured text that are relevant to the recorded utterance. The method further includes adding the identified words to a dynamic language model, and recognizing the recorded utterance using the dynamic language model. The recorded utterance can be a spoken dialog. A time stamp can be assigned to each identified word. The method can include adding identified words to and/or removing identified words from the dynamic language model based on their respective time stamps. A screen scraper can capture text from the device display associated with the recorded utterance. The device display can contain customer service data.

    System and method for improving speech recognition accuracy using textual context
    5.
    发明授权
    System and method for improving speech recognition accuracy using textual context 有权

    公开(公告)号：US10546595B2

    公开(公告)日：2020-01-28

    申请号：US15911678

    申请日：2018-03-05

    申请人： Nuance Communications, Inc.

    发明人： Dan Melamed ,  Srinivas Bangalore ,  Michael Johnston

    IPC分类号： G10L15/00 ,  G10L25/51 ,  G10L15/19 ,  G10L17/04 ,  G10L15/18 ,  G06F3/16 ,  G10L15/05 ,  G10L15/07 ,  G10L15/30 ,  G10L15/183 ,  G10L15/22

    摘要： Disclosed herein are systems, methods, and computer-readable storage media for improving speech recognition accuracy using textual context. The method includes retrieving a recorded utterance, capturing text from a device display associated with the spoken dialog and viewed by one party to the recorded utterance, and identifying words in the captured text that are relevant to the recorded utterance. The method further includes adding the identified words to a dynamic language model, and recognizing the recorded utterance using the dynamic language model. The recorded utterance can be a spoken dialog. A time stamp can be assigned to each identified word. The method can include adding identified words to and/or removing identified words from the dynamic language model based on their respective time stamps. A screen scraper can capture text from the device display associated with the recorded utterance. The device display can contain customer service data.

    System and method for rapid customization of speech recognition models
    8.
    发明授权
    System and method for rapid customization of speech recognition models 有权

    公开(公告)号：US10726833B2

    公开(公告)日：2020-07-28

    申请号：US15985107

    申请日：2018-05-21

    申请人： Nuance Communications, Inc.

    发明人： Srinivas Bangalore ,  Robert Bell ,  Diamantino Antonio Caseiro ,  Mazin Gilbert ,  Patrick Haffner

    IPC分类号： G10L15/183 ,  G10L15/06 ,  G10L15/22 ,  G10L15/065 ,  G10L15/30

    摘要： Disclosed herein are systems, methods, and non-transitory computer-readable storage media for generating domain-specific speech recognition models for a domain of interest by combining and tuning existing speech recognition models when a speech recognizer does not have access to a speech recognition model for that domain of interest and when available domain-specific data is below a minimum desired threshold to create a new domain-specific speech recognition model. A system configured to practice the method identifies a speech recognition domain and combines a set of speech recognition models, each speech recognition model of the set of speech recognition models being from a respective speech recognition domain. The system receives an amount of data specific to the speech recognition domain, wherein the amount of data is less than a minimum threshold to create a new domain-specific model, and tunes the combined speech recognition model for the speech recognition domain based on the data.

    System and method for machine-mediated human-human conversation
    9.
    发明授权
    System and method for machine-mediated human-human conversation 有权

    公开(公告)号：US10403290B2

    公开(公告)日：2019-09-03

    申请号：US15681644

    申请日：2017-08-21

    申请人： Nuance Communications, Inc.

    发明人： Srinivas Bangalore

    IPC分类号： G10L17/22 ,  G10L15/18 ,  G10L15/197 ,  G10L25/84 ,  G10L15/07 ,  G10L15/20 ,  G10L15/25 ,  G10L15/22

    摘要： Disclosed herein are systems, methods, and non-transitory computer-readable storage media for processing speech. A system configured to practice the method monitors user utterances to generate a conversation context. Then the system receives a current user utterance independent of non-natural language input intended to trigger speech processing. The system compares the current user utterance to the conversation context to generate a context similarity score, and if the context similarity score is above a threshold, incorporates the current user utterance into the conversation context. If the context similarity score is below the threshold, the system discards the current user utterance. The system can compare the current user utterance to the conversation context based on an n-gram distribution, a perplexity score, and a perplexity threshold. Alternately, the system can use a task model to compare the current user utterance to the conversation context.