Server side hotwording
    21.
    发明授权

    公开(公告)号:US11699443B2

    公开(公告)日:2023-07-11

    申请号:US17337182

    申请日:2021-06-02

    Applicant: GOOGLE LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting hotwords using a server. One of the methods includes receiving an audio signal encoding one or more utterances including a first utterance; determining whether at least a portion of the first utterance satisfies a first threshold of being at least a portion of a key phrase; in response to determining that at least the portion of the first utterance satisfies the first threshold of being at least a portion of a key phrase, sending the audio signal to a server system that determines whether the first utterance satisfies a second threshold of being the key phrase, the second threshold being more restrictive than the first threshold; and receiving tagged text data representing the one or more utterances encoded in the audio signal when the server system determines that the first utterance satisfies the second threshold.

    ON-DEVICE PERSONALIZATION OF SPEECH SYNTHESIS FOR TRAINING OF SPEECH RECOGNITION MODEL(S)

    公开(公告)号:US20230068897A1

    公开(公告)日:2023-03-02

    申请号:US17983671

    申请日:2022-11-09

    Applicant: GOOGLE LLC

    Abstract: Processor(s) of a client device can: identify a textual segment stored locally at the client device; process the textual segment, using an on-device TTS generator model, to generate synthesized speech audio data that includes synthesized speech of the textual segment; process the synthesized speech, using an on-device ASR model to generate predicted ASR output; and generate a gradient based on comparing the predicted ASR output to ground truth output corresponding to the textual segment. Processor(s) of the client device can also: process the synthesized speech audio data using an on-device TTS generator model to make a prediction; and generate a gradient based on the prediction. In these implementations, the generated gradient(s) can be used to update weight(s) of the respective on-device model(s) and/or transmitted to a remote system for use in remote updating of respective global model(s). The updated weight(s) and/or the updated model(s) can be transmitted to client device(s).

    Neural network for keyboard input decoding

    公开(公告)号:US11573698B2

    公开(公告)日:2023-02-07

    申请号:US17469622

    申请日:2021-09-08

    Applicant: Google LLC

    Abstract: In some examples, a computing device includes at least one processor; and at least one module, operable by the at least one processor to: output, for display at an output device, a graphical keyboard; receive an indication of a gesture detected at a location of a presence-sensitive input device, wherein the location of the presence-sensitive input device corresponds to a location of the output device that outputs the graphical keyboard; determine, based on at least one spatial feature of the gesture that is processed by the computing device using a neural network, at least one character string, wherein the at least one spatial feature indicates at least one physical property of the gesture; and output, for display at the output device, based at least in part on the processing of the at least one spatial feature of the gesture using the neural network, the at least one character string.

    On-device personalization of speech synthesis for training of speech model(s)

    公开(公告)号:US11545133B2

    公开(公告)日:2023-01-03

    申请号:US17082518

    申请日:2020-10-28

    Applicant: Google LLC

    Abstract: Processor(s) of a client device can: identify a textual segment stored locally at the client device; process the textual segment, using an on-device TTS generator model, to generate synthesized speech audio data that includes synthesized speech of the textual segment; process the synthesized speech, using an on-device ASR model to generate predicted ASR output; and generate a gradient based on comparing the predicted ASR output to ground truth output corresponding to the textual segment. Processor(s) of the client device can also: process the synthesized speech audio data using an on-device TTS generator model to make a prediction; and generate a gradient based on the prediction. In these implementations, the generated gradient(s) can be used to update weight(s) of the respective on-device model(s) and/or transmitted to a remote system for use in remote updating of respective global model(s). The updated weight(s) and/or the updated model(s) can be transmitted to client device(s).

    Methods and systems for attending to a presenting user

    公开(公告)号:US11086597B2

    公开(公告)日:2021-08-10

    申请号:US16758144

    申请日:2018-08-14

    Applicant: GOOGLE LLC

    Abstract: The various implementations described herein include methods, devices, and systems for attending to a presenting user. In one aspect, a method is performed at an electronic device that includes an image sensor, microphones, a display, processor(s), and memory. The device (1) obtains audio signals by concurrently receiving audio data at each microphone; (2) determines based on the obtained audio signals that a person is speaking in a vicinity of the device; (3) obtains video data from the image sensor; (4) determines via the video data that the person is not within a field of view of the image sensor; (5) reorients the electronic device based on differences in the received audio data; (6) after reorienting the electronic device, obtains second video data from the image sensor and determines that the person is within the field of view; and (7) attends to the person by directing the display toward the person.

    Server side hotwording
    28.
    发明授权

    公开(公告)号:US11049504B2

    公开(公告)日:2021-06-29

    申请号:US16885151

    申请日:2020-05-27

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting hotwords using a server. One of the methods includes receiving an audio signal encoding one or more utterances including a first utterance; determining whether at least a portion of the first utterance satisfies a first threshold of being at least a portion of a key phrase; in response to determining that at least the portion of the first utterance satisfies the first threshold of being at least a portion of a key phrase, sending the audio signal to a server system that determines whether the first utterance satisfies a second threshold of being the key phrase, the second threshold being more restrictive than the first threshold; and receiving tagged text data representing the one or more utterances encoded in the audio signal when the server system determines that the first utterance satisfies the second threshold.

    Neural network for keyboard input decoding
    29.
    发明授权

    公开(公告)号:US10671281B2

    公开(公告)日:2020-06-02

    申请号:US16261640

    申请日:2019-01-30

    Applicant: Google LLC

    Abstract: In some examples, a computing device includes at least one processor; and at least one module, operable by the at least one processor to: output, for display at an output device, a graphical keyboard; receive an indication of a gesture detected at a location of a presence-sensitive input device, wherein the location of the presence-sensitive input device corresponds to a location of the output device that outputs the graphical keyboard; determine, based on at least one spatial feature of the gesture that is processed by the computing device using a neural network, at least one character string, wherein the at least one spatial feature indicates at least one physical property of the gesture; and output, for display at the output device, based at least in part on the processing of the at least one spatial feature of the gesture using the neural network, the at least one character string.

    Server side hotwording
    30.
    发明授权

    公开(公告)号:US10311876B2

    公开(公告)日:2019-06-04

    申请号:US15432358

    申请日:2017-02-14

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting hotwords using a server. One of the methods includes receiving an audio signal encoding one or more utterances including a first utterance; determining whether at least a portion of the first utterance satisfies a first threshold of being at least a portion of a key phrase; in response to determining that at least the portion of the first utterance satisfies the first threshold of being at least a portion of a key phrase, sending the audio signal to a server system that determines whether the first utterance satisfies a second threshold of being the key phrase, the second threshold being more restrictive than the first threshold; and receiving tagged text data representing the one or more utterances encoded in the audio signal when the server system determines that the first utterance satisfies the second threshold.

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