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公开(公告)号:US10963497B1
公开(公告)日:2021-03-30
申请号:US15083790
申请日:2016-03-29
Applicant: Amazon Technologies, Inc.
Inventor: Mihai Valentin Tablan , Sina Samangooei , Arpit Mittal , David Spike Palfrey , Emilio Monti , Pedro Ribeiro , Benjamin David Scott , Petra Elisabeth Holmes , Dianhuan Lin
IPC: G06F16/33
Abstract: A query parsing system uses a multi-stage process to parse the text of incoming queries before attempting to answer the queries. The multi-stage configuration involves a first trained classifier to determine the query type, or intent, of the text and a plurality of second trained classifiers, where each of the second trained classifiers is configured particularly for one specific respective query type. During query processing, the first trained classifier is used on the text to identify the query type. A second trained classifier for that specific identified query type is then found and used on the text to identify what strings in the text correspond to specific entities needed to resolve the query. The identified text strings and query type are then placed into a form understandable by a knowledge base and sent to the knowledge base for resolution. The classifiers may be trained using queries and answers previously processed by the knowledge base using a rules/template resolution process.
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公开(公告)号:US09398367B1
公开(公告)日:2016-07-19
申请号:US14341222
申请日:2014-07-25
Applicant: Amazon Technologies, Inc.
Inventor: Benjamin David Scott , Mark Edward Rafn
CPC classification number: H04R1/1083 , G10L17/00 , G10L2015/088 , H04R2460/01
Abstract: Aspects of the disclosure provide suspension of noise cancellation at a noise-cancelling device using keyword spotting. In one aspect, a predetermined word or phrase can be spotted within an utterance received at the noise-cancelling device, and in response, noise cancellation can be suspended or otherwise terminated. The predetermined word or phrase can be specific to an end-user that utilizes the noise-cancelling device and/or a person that interacts with the end-user. In another aspect, interaction between an operator and the noise-cancelling device can be monitored after noise cancellation is suspended, and based at least on such interaction, a model for keyword spotting can be refined. In certain aspects, noise cancellation at the noise-cancelling device can be suspended or otherwise terminated in response to receiving a suspension directive via an electronic non-audio signal, for example, from a peripheral device. In other aspects, the noise-cancelling device can resume noise cancellation in response to a control signal.
Abstract translation: 本公开的方面提供使用关键字检测在噪声消除装置处暂停噪声消除。 在一个方面,可以在噪声消除装置接收到的发声中发现预定的单词或短语,并且作为响应,可以暂停或以其他方式终止噪声消除。 预定的单词或短语可以是特定于使用噪声消除装置的终端用户和/或与最终用户交互的人。 在另一方面,可以在噪声消除被暂停之后监视操作者和噪声消除装置之间的交互,并且至少基于这样的交互,可以改进关键字识别的模型。 在某些方面,噪声消除装置的噪声消除可以通过例如来自外围设备的电子非音频信号接收到挂起指令而被暂停或以其他方式终止。 在其他方面,噪声消除装置可以响应于控制信号重新开始噪声消除。
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