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公开(公告)号：US11967310B2
公开(公告)日：2024-04-23
申请号：US18322207
申请日：2023-05-23
Applicant: Google LLC
Inventor： Raziel Alvarez Guevara , Hyun Jin Park , Patrick Violette
CPC classification number: G10L15/16 , G10L15/02 , G10L15/063 , G10L2015/025 , G10L2015/088 , G10L2015/223
Abstract: A method for training hotword detection includes receiving a training input audio sequence including a sequence of input frames that define a hotword that initiates a wake-up process on a device. The method also includes feeding the training input audio sequence into an encoder and a decoder of a memorized neural network. Each of the encoder and the decoder of the memorized neural network include sequentially-stacked single value decomposition filter (SVDF) layers. The method further includes generating a logit at each of the encoder and the decoder based on the training input audio sequence. For each of the encoder and the decoder, the method includes smoothing each respective logit generated from the training input audio sequence, determining a max pooling loss from a probability distribution based on each respective logit, and optimizing the encoder and the decoder based on all max pooling losses associated with the training input audio sequence.
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公开(公告)号：US20230162729A1
公开(公告)日：2023-05-25
申请号：US18151540
申请日：2023-01-09
Applicant: Google LLC
Inventor： Raziel Alvarez Guevara , Hyun Jin Park
CPC classification number: G10L15/16 , G10L15/02 , G10L15/063 , G10L15/22 , G10L2015/025 , G10L2015/088
Abstract: A method for detecting a hotword includes receiving a sequence of input frames that characterize streaming audio captured by a user device and generating a probability score indicating a presence of a hotword in the streaming audio using a memorized neural network. The network includes sequentially-stacked single value decomposition filter (SVDF) layers and each SVDF layer includes at least one neuron. Each neuron includes a respective memory component, a first stage configured to perform filtering on audio features of each input frame individually and output to the memory component, and a second stage configured to perform filtering on all the filtered audio features residing in the respective memory component. The method also includes determining whether the probability score satisfies a hotword detection threshold and initiating a wake-up process on the user device for processing additional terms.
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公开(公告)号：US20210312913A1
公开(公告)日：2021-10-07
申请号：US17348422
申请日：2021-06-15
Applicant: Google LLC
Inventor： Raziel Alvarez Guevara , Hyun Jin Park , Patrick Violette
Abstract: A method for training hotword detection includes receiving a training input audio sequence including a sequence of input frames that define a hotword that initiates a wake-up process on a device. The method also includes feeding the training input audio sequence into an encoder and a decoder of a memorized neural network. Each of the encoder and the decoder of the memorized neural network include sequentially-stacked single value decomposition filter (SVDF) layers. The method further includes generating a logit at each of the encoder and the decoder based on the training input audio sequence. For each of the encoder and the decoder, the method includes smoothing each respective logit generated from the training input audio sequence, determining a max pooling loss from a probability distribution based on each respective logit, and optimizing the encoder and the decoder based on all max pooling losses associated with the training input audio sequence.
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Patent Agency Ranking
公开(公告)号：US20230298576A1
公开(公告)日：2023-09-21
申请号：US18322207
申请日：2023-05-23
Applicant: Google LLC
Inventor： Raziel Alvarez Guevara , Hyun Jin Park , Patrick Violette
CPC classification number: G10L15/16 , G10L15/02 , G10L15/063 , G10L15/22 , G10L2015/025 , G10L2015/088
Abstract: A method for training hotword detection includes receiving a training input audio sequence including a sequence of input frames that define a hotword that initiates a wake-up process on a device. The method also includes feeding the training input audio sequence into an encoder and a decoder of a memorized neural network. Each of the encoder and the decoder of the memorized neural network include sequentially-stacked single value decomposition filter (SVDF) layers. The method further includes generating a logit at each of the encoder and the decoder based on the training input audio sequence. For each of the encoder and the decoder, the method includes smoothing each respective logit generated from the training input audio sequence, determining a max pooling loss from a probability distribution based on each respective logit, and optimizing the encoder and the decoder based on all max pooling losses associated with the training input audio sequence.
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公开(公告)号：US20230274731A1
公开(公告)日：2023-08-31
申请号：US17652801
申请日：2022-02-28
Applicant: Google LLC
Inventor： Hyun Jin Park , Alex Seungryong Park , Ignacio Lopez Moreno
CPC classification number: G10L15/16 , G10L15/063 , G10L15/22 , G10L15/02 , G06N3/08 , G10L2015/088
Abstract: A method for training a neural network includes receiving a training input audio sequence including a sequence of input frames defining a hotword that initiates a wake-up process on a user device. The method further includes obtaining a first label and a second label for the training input audio sequence. The method includes generating, using a memorized neural network and the training input audio sequence, an output indicating a likelihood the training input audio sequence includes the hotword. The method further includes determining a first loss based on the first label and the output. The method includes determining a second loss based on the second label and the output. The method further includes optimizing the memorized neural network based on the first loss and the second loss associated with the training input audio sequence.
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公开(公告)号：US20210142790A1
公开(公告)日：2021-05-13
申请号：US17155068
申请日：2021-01-21
Applicant: Google LLC
Inventor： Raziel Alvarez Guevara , Hyun Jin Park
Abstract: A method for detecting a hotword includes receiving a sequence of input frames that characterize streaming audio captured by a user device and generating a probability score indicating a presence of a hotword in the streaming audio using a memorized neural network. The network includes sequentially-stacked single value decomposition filter (SVDF) layers and each SVDF layer includes at least one neuron. Each neuron includes a respective memory component, a first stage configured to perform filtering on audio features of each input frame individually and output to the memory component, and a second stage configured to perform filtering on all the filtered audio features residing in the respective memory component. The method also includes determining whether the probability score satisfies a hotword detection threshold and initiating a wake-up process on the user device for processing additional terms.
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公开(公告)号：US10930269B2
公开(公告)日：2021-02-23
申请号：US16439897
申请日：2019-06-13
Applicant: Google LLC
Inventor： Raziel Alvarez Guevara , Hyun Jin Park
Abstract: A method for detecting a hotword includes receiving a sequence of input frames that characterize streaming audio captured by a user device and generating a probability score indicating a presence of a hotword in the streaming audio using a memorized neural network. The network includes sequentially-stacked single value decomposition filter (SVDF) layers and each SVDF layer includes at least one neuron. Each neuron includes a respective memory component, a first stage configured to perform filtering on audio features of each input frame individually and output to the memory component, and a second stage configured to perform filtering on all the filtered audio features residing in the respective memory component. The method also includes determining whether the probability score satisfies a hotword detection threshold and initiating a wake-up process on the user device for processing additional terms.
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公开(公告)号：US20200020322A1
公开(公告)日：2020-01-16
申请号：US16439897
申请日：2019-06-13
Applicant: Google LLC
Inventor： Raziel Alvarez Guevara , Hyun Jin Park
Abstract: A method for detecting a hotword includes receiving a sequence of input frames that characterize streaming audio captured by a user device and generating a probability score indicating a presence of a hotword in the streaming audio using a memorized neural network. The network includes sequentially-stacked single value decomposition filter (SVDF) layers and each SVDF layer includes at least one neuron. Each neuron includes a respective memory component, a first stage configured to perform filtering on audio features of each input frame individually and output to the memory component, and a second stage configured to perform filtering on all the filtered audio features residing in the respective memory component. The method also includes determining whether the probability score satisfies a hotword detection threshold and initiating a wake-up process on the user device for processing additional terms.
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