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USER MEDIATION FOR HOTWORD/KEYWORD DETECTION

机译:用于热词/关键字检测的用户中介

摘要

Techniques are described herein for improving performance of machine learning model(s) and thresholds utilized in determining whether automated assistant function(s) are to be initiated. A method includes: receiving, via one or more microphones of a client device, audio data that captures a spoken utterance of a user; processing the audio data using a machine learning model to generate a predicted output that indicates a probability of one or more hotwords being present in the audio data; determining that the predicted output satisfies a secondary threshold that is less indicative of the one or more hotwords being present in the audio data than is a primary threshold; in response to determining that the predicted output satisfies the secondary threshold, prompting the user to indicate whether or not the spoken utterance includes a hotword; receiving, from the user, a response to the prompting; and adjusting the primary threshold based on the response.
机译:本文描述了用于改进机器学习模型的性能的技术,以及用于确定是否要启动自动辅助功能的阈值。一种方法包括:通过客户端设备的一个或多个麦克风接收捕获用户语音的音频数据;使用机器学习模型处理音频数据以生成预测输出,该预测输出指示音频数据中存在一个或多个热门词的概率;确定预测输出满足第二阈值,该第二阈值比第一阈值更少地指示音频数据中存在的一个或多个热词;响应于确定预测输出满足第二阈值,提示用户指示口语是否包括热词;从用户接收对提示的响应;以及基于响应调整主阈值。

著录项

  • 公开/公告号WO2022050973A1

    专利类型

  • 公开/公告日2022-03-10

    原文格式PDF

  • 申请/专利权人 GOOGLE LLC;

    申请/专利号WO2020US65053

  • 申请日2020-12-15

  • 分类号G10L15/22;G10L15/065;G10L15/08;G10L15/16;

  • 国家 US

  • 入库时间 2022-08-24 23:51:04

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