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    AUTOMATICALLY DETERMINING LANGUAGE FOR SPEECH RECOGNITION OF SPOKEN UTTERANCE RECEIVED VIA AN AUTOMATED ASSISTANT INTERFACE
    41.
    发明申请
    AUTOMATICALLY DETERMINING LANGUAGE FOR SPEECH RECOGNITION OF SPOKEN UTTERANCE RECEIVED VIA AN AUTOMATED ASSISTANT INTERFACE 有权

    公开(公告)号：US20210280177A1

    公开(公告)日：2021-09-09

    申请号：US17328400

    申请日：2021-05-24

    申请人： Google LLC

    发明人： Pu-sen Chao ,  Diego Melendo Casado ,  Ignacio Lopez Moreno ,  William Zhang

    IPC分类号： G10L15/197 ,  G10L15/00 ,  G10L15/22 ,  G10L15/30 ,  G10L15/08 ,  G10L15/14 ,  G10L15/18 ,  G10L13/00

    摘要： 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. Implementations determine a user profile that corresponds to audio data that captures a spoken utterance, and utilize language(s), and optionally corresponding probabilities, assigned to the user profile in determining a language for speech recognition of the spoken utterance. Some implementations select only a subset of languages, assigned to the user profile, to utilize in speech recognition of a given spoken utterance of the user. Some implementations perform speech recognition in each of multiple languages assigned to the user profile, and utilize criteria to select only one of the speech recognitions as appropriate for generating and providing content that is responsive to the spoken utterance.

    Modality learning on mobile devices
    42.
    发明授权
    Modality learning on mobile devices 有权

    公开(公告)号：US10831366B2

    公开(公告)日：2020-11-10

    申请号：US15393676

    申请日：2016-12-29

    申请人： Google LLC

    发明人： Yu Ouyang ,  Diego Melendo Casado ,  Mohammadinamul Hasan Sheik ,  Francoise Beaufays ,  Dragan Zivkovic ,  Meltem Oktem

    IPC分类号： G06F3/0488 ,  G06F3/16 ,  G06F1/16 ,  G06F3/023 ,  G06F40/166 ,  G06F40/289 ,  G10L15/22

    摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for cross input modality learning in a mobile device are disclosed. In one aspect, a method includes activating a first modality user input mode in which user inputs by way of a first modality are recognized using a first modality recognizer; and receiving a user input by way of the first modality. The method includes, obtaining, as a result of the first modality recognizer recognizing the user input, a transcription that includes a particular term; and generating an input context data structure that references at least the particular term. The method further includes, transmitting, by the first modality recognizer, the input context data structure to a second modality recognizer for use in updating a second modality recognition model associated with the second modality recognizer.

    ADAPTIVE INTERFACE IN A VOICE-BASED NETWORKED SYSTEM
    43.
    发明申请
    ADAPTIVE INTERFACE IN A VOICE-BASED NETWORKED SYSTEM 审中-公开

    公开(公告)号：US20190318724A1

    公开(公告)日：2019-10-17

    申请号：US15973466

    申请日：2018-05-07

    申请人： Google LLC

    发明人： Pu-sen Chao ,  Diego Melendo Casado ,  Ignacio Lopez Moreno

    IPC分类号： G10L15/14 ,  G10L15/02 ,  G10L15/18

    摘要： 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.

    MULTI-USER AUTHENTICATION ON A DEVICE
    44.
    发明申请
    MULTI-USER AUTHENTICATION ON A DEVICE 审中-公开

    公开(公告)号：US20180308472A1

    公开(公告)日：2018-10-25

    申请号：US15956493

    申请日：2018-04-18

    申请人： Google LLC

    发明人： Ignacio Lopez Moreno ,  Diego Melendo Casado

    IPC分类号： G10L15/08 ,  G10L17/06 ,  G06F21/32

    CPC分类号： G10L17/06 ,  G06F17/30764 ,  G06F21/32 ,  G06K9/00362 ,  G10L15/07 ,  G10L15/08 ,  G10L15/22 ,  G10L15/265 ,  G10L17/005

    摘要： In some implementations, an utterance is determined to include a particular user speaking a hotword based at least on a first set of samples of the particular user speaking the hotword. In response to determining that an utterance includes a particular user speaking a hotword based at least on a first set of samples of the particular user speaking the hotword, at least a portion of the utterance is stored as a new sample. A second set of samples of the particular user speaking the utterance is obtained, where the second set of samples includes the new sample and less than all the samples in the first set of samples. A second utterance is determined to include the particular user speaking the hotword based at least on the second set of samples of the user speaking the hotword.

    HOTWORD DETECTION ON MULTIPLE DEVICES
    45.
    发明申请
    HOTWORD DETECTION ON MULTIPLE DEVICES 审中-公开

    公开(公告)号：US20180286406A1

    公开(公告)日：2018-10-04

    申请号：US15952434

    申请日：2018-04-13

    申请人： Google LLC

    发明人： Diego Melendo Casado ,  Alexander H. Gruenstein ,  Jakob N. Foerster

    IPC分类号： G10L15/30 ,  G10L15/22 ,  G10L25/78 ,  H04L29/08 ,  G10L15/16 ,  G10L15/08

    CPC分类号： G10L15/30 ,  G10L15/16 ,  G10L15/22 ,  G10L25/78 ,  G10L2015/088 ,  G10L2015/223 ,  H04L67/10 ,  H05K999/99

    摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for hotword detection on multiple devices are disclosed. In one aspect, a method includes the actions of receiving audio data that corresponds to an utterance. The actions further include determining that the utterance likely includes a particular, predefined hotword. The actions further include transmitting (i) data indicating that the computing device likely received the particular, predefined hotword, (ii) data identifying the computing device, and (iii) data identifying a group of nearby computing devices that includes the computing device. The actions further include receiving an instruction to commence speech recognition processing on the audio data. The actions further include in response to receiving the instruction to commence speech recognition processing on the audio data, processing at least a portion of the audio data using an automated speech recognizer on the computing device.

    Hotword detection on multiple devices
    47.
    发明授权
    Hotword detection on multiple devices 有权

    公开(公告)号：US09972320B2

    公开(公告)日：2018-05-15

    申请号：US15278269

    申请日：2016-09-28

    申请人： Google LLC

    发明人： Diego Melendo Casado ,  Alexander H. Gruenstein ,  Jakob Nicolaus Foerster

    IPC分类号： G10L21/00 ,  G10L15/30 ,  G10L25/78 ,  H04L29/08 ,  G10L15/08 ,  G10L15/16

    CPC分类号： G10L15/30 ,  G10L15/16 ,  G10L15/22 ,  G10L25/78 ,  G10L2015/088 ,  G10L2015/223 ,  H04L67/10

    摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for hotword detection on multiple devices are disclosed. In one aspect, a method includes the actions of receiving audio data that corresponds to an utterance. The actions further include determining that the utterance likely includes a particular, predefined hotword. The actions further include transmitting (i) data indicating that the computing device likely received the particular, predefined hotword, (ii) data identifying the computing device, and (iii) data identifying a group of nearby computing devices that includes the computing device. The actions further include receiving an instruction to commence speech recognition processing on the audio data. The actions further include in response to receiving the instruction to commence speech recognition processing on the audio data, processing at least a portion of the audio data using an automated speech recognizer on the computing device.