公开(公告)号：US20230024698A1

公开(公告)日：2023-01-26

申请号：US17783074

申请日：2020-12-14

Applicant: Semiconductor Energy Laboratory Co., Ltd.

Inventor： Yusuke KOUMURA ,  Koki INOUE ,  Fumiya NAGASHIMA

IPC: G06N3/04 ,  G06N3/08 ,  G06V10/776 ,  G06V10/82

Abstract: A neural network model that can perform highly accurate processing on input data is provided. The neural network model includes first and second neutral networks, and the first neural network includes a first layer, a second layer, and a third layer. A feature map output from the first layer is input to the second layer and the second neural network, and a feature map output from the second neural network is input to the third layer. Given that the feature map output from the first layer when first data is input to the first neural network is a correct feature map and that the feature map output from the first layer when second data obtained by adding noise to the first data is input to the first neural network is a learning feature map, the second neural network is learned so that a feature map output from the second neural network matches the correct feature map when the learning feature map is input.

公开(公告)号：US20220366928A1

公开(公告)日：2022-11-17

申请号：US17630090

申请日：2020-07-29

Applicant: SEMICONDUCTOR ENERGY LABORATORY CO., LTD.

Inventor： Fumiya NAGASHIMA ,  Kengo AKIMOTO ,  Tatsuya OKANO ,  Yusuke KOUMURA ,  Seiko INOUE

IPC: G10L21/0272 ,  G10L25/30

Abstract: An audio device capable of inhibiting malfunction of an information terminal is provided. The audio device includes a sound sensor portion, a sound separation portion, a sound determination portion, and a processing portion. The sound sensor portion has a function of sensing sound. The sound separation portion has a function of separating the sound sensed by the sound sensor portion into a voice and sound other than a voice. The sound determination portion has a function of storing the feature quantity of the sound. The sound determination portion has a function of determining, with a machine learning model such as a neural network model, whether the feature quantity of the voice separated by the sound separation portion is the stored feature quantity. The processing portion has a function of analyzing an instruction contained in the voice and generating an instruction signal representing the content of the instruction in the case where the feature quantity of the voice is the stored feature quantity. The processing portion has a function of performing, on the sound other than a voice separated by the sound separation portion, processing for canceling the sound other than a voice. Specifically, the processing portion has a function of performing, on the sound other than a voice, processing for inverting the phase thereof.

公开(公告)号：US20220292332A1

公开(公告)日：2022-09-15

申请号：US17629499

申请日：2020-07-30

Applicant: SEMICONDUCTOR ENERGY LABORATORY CO., LTD.

Inventor： Yusuke KOUMURA ,  Koki INOUE ,  Ayana KIMOTSUKI ,  Fumiya NAGASHIMA

IPC: G06N3/04 ,  G06T7/50 ,  G06T1/60 ,  G06N3/063

Abstract: A system with high processing speed and low power consumption is provided. The system includes an imaging device and an arithmetic circuit. The imaging device includes an imaging portion, a first memory portion, and an arithmetic portion, and the arithmetic circuit includes a second memory portion. The imaging portion has a function of converting light reflected by an external subject into image data, and the first memory portion has a function of storing the image data and a first filter for performing first convolutional processing in a first layer of a neural network. The arithmetic portion has a function of performing the first convolutional processing using the image data and the first filter to generate first data. The second memory portion has a function of storing the first data and a plurality of filters. The arithmetic circuit has a function of generating a depth map of the image data.