公开(公告)号：US11557280B2

公开(公告)日：2023-01-17

申请号：US17101946

申请日：2020-11-23

Applicant: Google LLC

Inventor： Jason Sanders ,  Gabriel Taubman ,  John J. Lee

IPC: G10L15/22 ,  G10L15/08 ,  H04M3/493 ,  G06F16/683 ,  G10L15/18 ,  G10L25/48 ,  G10L21/0272 ,  G10L15/26 ,  G10L21/0208

Abstract: Implementations relate to techniques for providing context-dependent search results. A computer-implemented method includes receiving an audio stream at a computing device during a time interval, the audio stream comprising user speech data and background audio, separating the audio stream into a first substream that includes the user speech data and a second substream that includes the background audio, identifying concepts related to the background audio, generating a set of terms related to the identified concepts, influencing a speech recognizer based on at least one of the terms related to the background audio, and obtaining a recognized version of the user speech data using the speech recognizer.

公开(公告)号：US20220208197A1

公开(公告)日：2022-06-30

申请号：US17654232

申请日：2022-03-09

Applicant: Google LLC

Inventor： Gabriel Taubman ,  Andrew W. Hogue ,  John J. Lee

IPC: G10L15/30 ,  G06F16/9535 ,  G10L15/22

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine and from a computing device, a voice input, determining, by the dialog engine, that the received voice input is classified as feedback to an answer of a question; identifying, by the dialog engine, a predetermined feedback scare associated with the feedback; and adjusting a confidence score associated with the question and the answer based on the predetermined feedback score.

公开(公告)号：US20220189487A1

公开(公告)日：2022-06-16

申请号：US17652921

申请日：2022-02-28

Applicant: Google LLC

Inventor： Gabriel Taubman ,  Andrew W. Hoque ,  John J. Lee

IPC: G10L15/30 ,  G06F16/9535 ,  G10L15/22

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine and from a computing device, a voice input; determining, by the dialog engine, that the received voice input is classified as feedback to an answer of a question; identifying by the dialog engine, a predetermined feedback score associated with the feedback; and adjusting a confidence score associated with the question and the answer based on the predetermined feedback score.

公开(公告)号：US20240420700A1

公开(公告)日：2024-12-19

申请号：US18818382

申请日：2024-08-28

Applicant: Google LLC

Inventor： Gabriel Taubman ,  Andrew W. Hogue ,  John J. Lee

IPC: G10L15/30 ,  G06F16/33 ,  G06F16/9535 ,  G10L15/22 ,  H04M3/493

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine and from a computing device, a voice input; determining, by the dialog engine, that the received voice input is classified as feedback to an answer of a question; identifying, by the dialog engine, a predetermined feedback score associated with the feedback; and adjusting a confidence score associated with the question and the answer based on the predetermined feedback score.

公开(公告)号：US20240296835A1

公开(公告)日：2024-09-05

申请号：US18664348

申请日：2024-05-15

Applicant: Google LLC

Inventor： Jason Sanders ,  Gabriel Taubman ,  John J. Lee

IPC: G10L15/08 ,  G06F16/683 ,  G10L15/18 ,  G10L15/22 ,  G10L15/26 ,  G10L21/0208 ,  G10L21/0272 ,  G10L25/48 ,  H04M3/493

CPC classification number: G10L15/08 ,  G06F16/685 ,  G10L15/1815 ,  G10L15/22 ,  G10L15/26 ,  G10L21/0272 ,  G10L25/48 ,  H04M3/4936 ,  G10L2015/225 ,  G10L21/0208 ,  H04M2201/40 ,  H04M2203/352

Abstract: Implementations relate to techniques for providing context-dependent search results. A computer-implemented method includes receiving an audio stream at a computing device during a time interval, the audio stream comprising user speech data and background audio, separating the audio stream into a first substream that includes the user speech data and a second substream that includes the background audio, identifying concepts related to the background audio, generating a set of terms related to the identified concepts, influencing a speech recognizer based on at least one of the terms related to the background audio, and obtaining a recognized version of the user speech data using the speech recognizer.

公开(公告)号：US11023520B1

公开(公告)日：2021-06-01

申请号：US16244366

申请日：2019-01-10

Applicant: Google LLC

Inventor： Jason Sanders ,  John J. Lee ,  Gabriel Taubman

IPC: G06F16/00 ,  G06F16/632

Abstract: Implementations relate to techniques for providing context-dependent search results. The techniques can include receiving a query and background audio. The techniques can also include identifying the background audio, establishing concepts related to the background audio and obtaining terms related to the concepts related to the background audio. The techniques can also include obtaining search results based on the query and on at least one of the terms. The techniques can also include providing the search results.

公开(公告)号：US12094471B2

公开(公告)日：2024-09-17

申请号：US17654232

申请日：2022-03-09

Applicant: Google LLC

Inventor： Gabriel Taubman ,  Andrew W. Hogue ,  John J. Lee

IPC: G06F16/33 ,  G06F16/9535 ,  G10L15/22 ,  G10L15/30 ,  H04M3/493

CPC classification number: G10L15/30 ,  G06F16/9535 ,  G10L15/22 ,  G06F16/3337 ,  H04M3/493 ,  H04M3/4938

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine and from a computing device, a voice input, determining, by the dialog engine, that the received voice input is classified as feedback to an answer of a question; identifying, by the dialog engine, a predetermined feedback scare associated with the feedback; and adjusting a confidence score associated with the question and the answer based on the predetermined feedback score.

公开(公告)号：US20240274132A1

公开(公告)日：2024-08-15

申请号：US18642010

申请日：2024-04-22

Applicant: GOOGLE LLC

Inventor： Joseph Lange ,  Abhanshu Sharma ,  Adam Coimbra ,  Gökhan Bakir ,  Gabriel Taubman ,  IIya Firman ,  Jindong Chen ,  James Stout ,  Marcin Nowak-Przygodzki ,  Reed Enger ,  Thomas Weedon Hume ,  Vishwath Mohan ,  Jacek Szmigiel ,  Yunfan Jin ,  Kyle Pedersen ,  Gilles Baechler

IPC: G10L15/22 ,  G06F3/16 ,  G06F40/247 ,  G06F40/30 ,  G10L15/18

CPC classification number: G10L15/22 ,  G06F3/167 ,  G06F40/247 ,  G06F40/30 ,  G10L15/1815 ,  G10L15/1822 ,  G10L2015/223 ,  G10L2015/228

Abstract: Implementations set forth herein relate to an automated assistant that can interact with applications that may not have been pre-configured for interfacing with the automated assistant. The automated assistant can identify content of an application interface of the application to determine synonymous terms that a user may speak when commanding the automated assistant to perform certain tasks. Speech processing operations employed by the automated assistant can be biased towards these synonymous terms when the user is accessing an application interface of the application. In some implementations, the synonymous terms can be identified in a responsive language of the automated assistant when the content of the application interface is being rendered in a different language. This can allow the automated assistant to operate as an interface between the user and certain applications that may not be rendering content in a native language of the user.

公开(公告)号：US12002452B2

公开(公告)日：2024-06-04

申请号：US18069663

申请日：2022-12-21

Applicant: Google LLC

Inventor： Jason Sanders ,  Gabriel Taubman ,  John J. Lee

IPC: G10L15/22 ,  G06F16/683 ,  G10L15/08 ,  G10L15/18 ,  G10L15/26 ,  G10L21/0272 ,  G10L25/48 ,  H04M3/493 ,  G10L21/0208

CPC classification number: G10L15/08 ,  G06F16/685 ,  G10L15/1815 ,  G10L15/22 ,  G10L15/26 ,  G10L21/0272 ,  G10L25/48 ,  H04M3/4936 ,  G10L2015/225 ,  G10L21/0208 ,  H04M2201/40 ,  H04M2203/352

Abstract: Implementations relate to techniques for providing context-dependent search results. A computer-implemented method includes receiving an audio stream at a computing device during a time interval, the audio stream comprising user speech data and background audio, separating the audio stream into a first substream that includes the user speech data and a second substream that includes the background audio, identifying concepts related to the background audio, generating a set of terms related to the identified concepts, influencing a speech recognizer based on at least one of the terms related to the background audio, and obtaining a recognized version of the user speech data using the speech recognizer.

公开(公告)号：US11830499B2

公开(公告)日：2023-11-28

申请号：US17652921

申请日：2022-02-28

Applicant: Google LLC

Inventor： Gabriel Taubman ,  Andrew W. Hogue ,  John J. Lee

IPC: G10L15/22 ,  G10L15/30 ,  G06F16/33 ,  G06F16/9535 ,  H04M3/493

CPC classification number: G10L15/30 ,  G06F16/9535 ,  G10L15/22 ,  G06F16/3337 ,  H04M3/493 ,  H04M3/4938

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine and from a computing device, a voice input; determining, by the dialog engine, that the received voice input is classified as feedback to an answer of a question; identifying, by the dialog engine, a predetermined feedback score associated with the feedback; and adjusting a confidence score associated with the question and the answer based on the predetermined feedback score.