公开(公告)号：WO2021230878A1

公开(公告)日：2021-11-18

申请号：PCT/US2020/033113

申请日：2020-05-15

Applicant: GOOGLE LLC

Inventor： CHAO, Pu-Sen ,  FANDRIANTO, Alex

IPC: G10L15/22

Abstract: The presentation of an automated assistant response may be selectively pre-empted in response to a hot-word free utterance that is received during the presentation and that is determined to be likely directed to the automated assistant. The determination that the utterance is likely directed to the automated assistant may be performed, for example, using an utterance classification operation that is performed on audio data received during presentation of the response, and based upon such a determination, the response may be pre-empted with another response associated with the later-received utterance. In addition, the duration that is used to determine when a session should be terminated at the conclusion of a conversation between a user and an automated assistant may be dynamically controlled based upon when the presentation of a response has completed.

公开(公告)号：WO2022087117A2

公开(公告)日：2022-04-28

申请号：PCT/US2021/055826

申请日：2021-10-20

Applicant: GOOGLE LLC

Inventor： PELECANOS, Jason ,  CHAO, Pu-Sen ,  HUANG, Yiling ,  WANG, Quan

IPC: G10L17/00 ,  G10L17/04 ,  G10L17/18 ,  G06N3/0454 ,  G06N3/08 ,  G10L17/12 ,  G10L25/30 ,  G10L25/51

Abstract: A method (300) for evaluating a verification model (146) includes receiving first and second sets of verification results (148) where each verification result indicates whether a primary model or an alternative model verifies an identity of a user (10) as a registered user. The method further includes identifying each verification result in the first and second sets that includes a performance metric (212), determining a first score (222) of the primary model based on a number of the verification results identified in the first set that includes the performance metric, and determining a second score of the alternative model based on a number of the verification results identified in the second set that includes the performance metric. The method further includes determining whether a verification capability of the alternative model is better than a verification capability of the primary model based on the first score and the second score.