首页> 外国专利> IMPLEMENTING A CORRECTION MODEL TO REDUCE PROPAGATION OF AUTOMATIC SPEECH RECOGNITION ERRORS

IMPLEMENTING A CORRECTION MODEL TO REDUCE PROPAGATION OF AUTOMATIC SPEECH RECOGNITION ERRORS

机译:实现校正模型以减少自动语音识别错误的传播

摘要

Some techniques described herein determine a correction model for a dialog system, such that the correction model corrects output from an automatic speech recognition (ASR) subsystem in the dialog system. A method described herein includes accessing training data. A first tuple of the training data includes an utterance, where the utterance is a textual representation of speech. The method further includes using an ASR subsystem of a dialog system to convert the utterance to an output utterance. The method further includes storing the output utterance in corrective training data that is based on the training data. The method further includes training a correction model based on the corrective training data, such that the correction model is configured to correct output from the ASR subsystem during operation of the dialog system.
机译:这里描述的一些技术确定对话系统的校正模型,使得校正模型校正对话系统中的自动语音识别(ASR)子系统的输出。这里描述的方法包括访问训练数据。训练数据的第一个元组包括一种话语,其中话语是语音的文本表示。该方法还包括使用对话系统的ASR子系统来将话语转换为输出话语。该方法还包括将输出话语存储在基于训练数据的校正训练数据中。该方法还包括基于校正训练数据训练校正模型,使得校正模型被配置为在对话系统的操作期间从ASR子系统校正从ASR子系统的输出。

著录项

  • 公开/公告号US2021074262A1

    专利类型

  • 公开/公告日2021-03-11

    原文格式PDF

  • 申请/专利权人 ORACLE INTERNATIONAL CORPORATION;

    申请/专利号US202016992291

  • 发明设计人 THANH LONG DUONG;MARK EDWARD JOHNSON;

    申请日2020-08-13

  • 分类号G10L15/01;G10L15/22;G10L15/16;

  • 国家 US

  • 入库时间 2022-08-24 17:37:49

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