公开(公告)号：US10679611B2

公开(公告)日：2020-06-09

申请号：US15973466

申请日：2018-05-07

Applicant: Google LLC

Inventor： Pu-Sen Chao ,  Diego Melendo Casado ,  Ignacio Lopez Moreno

IPC: G10L15/00 ,  G10L15/14 ,  G10L15/18 ,  G10L15/02 ,  G10L15/08

Abstract: The present disclosure relates generally to determining a language for speech recognition of a spoken utterance, received via an automated assistant interface, for interacting with an automated assistant. The system can enable multilingual interaction with the automated assistant, without necessitating a user explicitly designate a language to be utilized for each interaction. Selection of a speech recognition model for a particular language can based on one or more interaction characteristics exhibited during a dialog session between a user and an automated assistant. Such interaction characteristics can include anticipated user input types, anticipated user input durations, a duration for monitoring for a user response, and/or an actual duration of a provided user response.

公开(公告)号：US11817085B2

公开(公告)日：2023-11-14

申请号：US17120906

申请日：2020-12-14

Applicant: Google LLC

Inventor： Pu-Sen Chao ,  Diego Melendo Casado ,  Ignacio Lopez Moreno

IPC: G10L15/14 ,  G10L15/02 ,  G10L15/18 ,  G06F3/16 ,  G10L15/00 ,  G10L15/183 ,  G10L15/22 ,  G10L15/30 ,  G10L15/08

CPC classification number: G10L15/14 ,  G06F3/167 ,  G10L15/005 ,  G10L15/02 ,  G10L15/183 ,  G10L15/1822 ,  G10L15/22 ,  G10L15/30 ,  G10L2015/088 ,  G10L2015/223 ,  G10L2015/228

Abstract: Implementations relate to determining a language for speech recognition of a spoken utterance, received via an automated assistant interface, for interacting with an automated assistant. Implementations can enable multilingual interaction with the automated assistant, without necessitating a user explicitly designate a language to be utilized for each interaction. Selection of a speech recognition model for a particular language can based on one or more interaction characteristics exhibited during a dialog session between a user and an automated assistant. Such interaction characteristics can include anticipated user input types, anticipated user input durations, a duration for monitoring for a user response, and/or an actual duration of a provided user response.