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公开(公告)号：US20190318727A1
公开(公告)日：2019-10-17
申请号：US16452959
申请日：2019-06-26
Applicant: Google LLC
Inventor： Ignacio Lopez Moreno , Yu-hsin Joyce Chen
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. One of the methods includes generating, by a speech recognition system, a matrix from a predetermined quantity of vectors that each represent input for a layer of a neural network, generating a plurality of sub-matrices from the matrix, using, for each of the sub-matrices, the respective sub-matrix as input to a node in the layer of the neural network to determine whether an utterance encoded in an audio signal comprises a keyword for which the neural network is trained.
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公开(公告)号：US11620989B2
公开(公告)日：2023-04-04
申请号：US16452959
申请日：2019-06-26
Applicant: Google LLC
Inventor： Ignacio Lopez Moreno , Yu-hsin Joyce Chen
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. One of the methods includes generating, by a speech recognition system, a matrix from a predetermined quantity of vectors that each represent input for a layer of a neural network, generating a plurality of sub-matrices from the matrix, using, for each of the sub-matrices, the respective sub-matrix as input to a node in the layer of the neural network to determine whether an utterance encoded in an audio signal comprises a keyword for which the neural network is trained.
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公开(公告)号：US10580401B2
公开(公告)日：2020-03-03
申请号：US14613493
申请日：2015-02-04
Applicant: Google LLC
Inventor： Ignacio Lopez Moreno , Yu-hsin Joyce Chen
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. One of the methods includes generating, by a speech recognition system, a matrix from a predetermined quantity of vectors that each represent input for a layer of a neural network, generating a plurality of sub-matrices from the matrix, using, for each of the sub-matrices, the respective sub-matrix as input to a node in the layer of the neural network to determine whether an utterance encoded in an audio signal comprises a keyword for which the neural network is trained.
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