Invention Grant
- Patent Title: Sub-matrix input for neural network layers
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Application No.: US16452959Application Date: 2019-06-26
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Publication No.: US11620989B2Publication Date: 2023-04-04
- Inventor: Ignacio Lopez Moreno , Yu-hsin Joyce Chen
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Honigman LLP
- Agent Brett A. Krueger
- Main IPC: G10L15/16
- IPC: G10L15/16 ; G06N3/04 ; G10L15/08 ; G10L17/18

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.
Public/Granted literature
- US20190318727A1 SUB-MATRIX INPUT FOR NEURAL NETWORK LAYERS Public/Granted day:2019-10-17
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