SYSTEM AND METHOD FOR HANDLING REPEAT QUERIES DUE TO WRONG ASR OUTPUT BY MODIFYING AN ACOUSTIC, A LANGUAGE AND A SEMANTIC MODEL
    11.
    发明申请
    SYSTEM AND METHOD FOR HANDLING REPEAT QUERIES DUE TO WRONG ASR OUTPUT BY MODIFYING AN ACOUSTIC, A LANGUAGE AND A SEMANTIC MODEL 有权
    通过修改语音,语言和语言模型来处理错误的ASR输出来处理REPEAT QUARIES的系统和方法

    公开(公告)号:US20150194150A1

    公开(公告)日:2015-07-09

    申请号:US14666548

    申请日:2015-03-24

    Abstract: Disclosed herein are systems, computer-implemented methods, and computer-readable storage media for handling expected repeat speech queries or other inputs. The method causes a computing device to detect a misrecognized speech query from a user, determine a tendency of the user to repeat speech queries based on previous user interactions, and adapt a speech recognition model based on the determined tendency before an expected repeat speech query. The method can further include recognizing the expected repeat speech query from the user based on the adapted speech recognition model. Adapting the speech recognition model can include modifying an acoustic model, a language model, and/or a semantic model. Adapting the speech recognition model can also include preparing a personalized search speech recognition model for the expected repeat query based on usage history and entries in a recognition lattice. The method can include retaining unmodified speech recognition models with adapted speech recognition models.

    Abstract translation: 本文公开了用于处理预期重复语音查询或其他输入的系统,计算机实现的方法和计算机可读存储介质。 该方法使得计算设备检测来自用户的误识别语音查询,确定用户基于先前用户交互重复语音查询的趋势,以及基于在预期重复语音查询之前确定的趋势来调整语音识别模型。 该方法还可以包括基于适应的语音识别模型识别来自用户的预期重复语音查询。 适应语音识别模型可以包括修改声学模型,语言模型和/或语义模型。 适应语音识别模型还可以包括基于使用历史和识别格中的条目为预期重复查询准备个性化搜索语音识别模型。 该方法可以包括使用适应的语音识别模型保留未修改的语音识别模型。

    System and Method for Adapting Automatic Speech Recognition Pronunciation by Acoustic Model Restructuring

    公开(公告)号:US20140358540A1

    公开(公告)日:2014-12-04

    申请号:US14459696

    申请日:2014-08-14

    Abstract: Disclosed herein are systems, computer-implemented methods, and computer-readable storage media for recognizing speech by adapting automatic speech recognition pronunciation by acoustic model restructuring. The method identifies an acoustic model and a matching pronouncing dictionary trained on typical native speech in a target dialect. The method collects speech from a new speaker resulting in collected speech and transcribes the collected speech to generate a lattice of plausible phonemes. Then the method creates a custom speech model for representing each phoneme used in the pronouncing dictionary by a weighted sum of acoustic models for all the plausible phonemes, wherein the pronouncing dictionary does not change, but the model of the acoustic space for each phoneme in the dictionary becomes a weighted sum of the acoustic models of phonemes of the typical native speech. Finally the method includes recognizing via a processor additional speech from the target speaker using the custom speech model.

    AUTOMATIC DISCLOSURE DETECTION
    14.
    发明申请
    AUTOMATIC DISCLOSURE DETECTION 有权
    自动披露检测

    公开(公告)号:US20130166293A1

    公开(公告)日:2013-06-27

    申请号:US13772509

    申请日:2013-02-21

    Abstract: A method of detecting pre-determined phrases to determine compliance quality is provided. The method includes determining whether at least one of an event or a precursor event has occurred based on a comparison between pre-determined phrases and a communication between a sender and a recipient in a communications network, and rating the recipient based on the presence of the pre-determined phrases associated with the event or the presence of the pre-determined phrases associated with the precursor event in the communication.

    Abstract translation: 提供了检测预定短语以确定顺应性质量的方法。 该方法包括基于预定短语与通信网络中的发送者和接收者之间的通信之间的比较来确定事件或前兆事件中的至少一个是否已经发生,并且基于存在 与事件相关联的预定短语或与通信中的前体事件相关联的预定短语的存在。

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