SOUND SOURCE LOCALIZATION SYSTEM
    1.
    发明申请

    公开(公告)号:US20240422476A1

    公开(公告)日:2024-12-19

    申请号:US18211003

    申请日:2023-06-16

    Abstract: A sound source localization system includes a microphone array composed of a plurality of microphones each converting sound wave into a corresponding voice signal; a room shape estimator that determines a room shape including a location map and a corresponding template voice feature map composed of template voice features associated with a virtual sound source disposed at different locations respectively, and outputs a room reliability indicating confidence about the determined room shape; a lookup table (LUT) that pre-stores the location map and the corresponding template voice feature map; and a localizer that determines a location of a sound source according to the room reliability and similarity between a voice feature associated with the sound source and the template voice features of the template voice feature map.

    Monitoring device for detecting object of interest and operation method thereof

    公开(公告)号:US11361545B1

    公开(公告)日:2022-06-14

    申请号:US16953327

    申请日:2020-11-20

    Abstract: A monitoring device and an operation method thereof are provided to detect whether an object of interest appears in a video stream. The monitoring device includes a motion calculation circuit, a motion region determination circuit and a computing engine. The motion calculation circuit performs motion calculation on a current frame in the video stream to generate a motion map. The motion region determination circuit determines a motion region in the current frame according to the motion map. The motion region determination circuit notifies the computing engine with the motion region in the current frame. The computing engine performs an object of interest detection on the motion region in the current frame of the video stream to generate a detection result. The motion region determination circuit determines whether to ignore the motion region in a subsequent frame after the current frame according to the detection result.

    MONITORING DEVICE FOR DETECTING OBJECT OF INTEREST AND OPERATION METHOD THEREOF

    公开(公告)号:US20220164579A1

    公开(公告)日:2022-05-26

    申请号:US16953327

    申请日:2020-11-20

    Abstract: A monitoring device and an operation method thereof are provided to detect whether an object of interest appears in a video stream. The monitoring device includes a motion calculation circuit, a motion region determination circuit and a computing engine. The motion calculation circuit performs motion calculation on a current frame in the video stream to generate a motion map. The motion region determination circuit determines a motion region in the current frame according to the motion map. The motion region determination circuit notifies the computing engine with the motion region in the current frame. The computing engine performs an object of interest detection on the motion region in the current frame of the video stream to generate a detection result. The motion region determination circuit determines whether to ignore the motion region in a subsequent frame after the current frame according to the detection result.

    CONVOLUTIONAL NEURAL NETWORK METHOD AND SYSTEM

    公开(公告)号:US20200380334A1

    公开(公告)日:2020-12-03

    申请号:US16424376

    申请日:2019-05-28

    Abstract: A convolutional neural network (CNN) method includes determining a temporary buffer layer, which is located between a first layer and a final layer of a CNN system; performing convolutional operations from the first layer to the determined temporary buffer layer of the CNN system in a first stage to generate a feature map line according to partial input data of layers before the temporary buffer layer; and performing convolutional operations from the temporary buffer layer to the final layer of the CNN system in a second stage to generate a feature map.

    ANTI-SPOOFING AUTHENTICATION SYSTEM

    公开(公告)号:US20240427863A1

    公开(公告)日:2024-12-26

    申请号:US18211944

    申请日:2023-06-20

    Abstract: An anti-spoofing authentication system includes an image capture device that converts received light into a voice signal representing a captured image; a microphone that converts sound wave into a voice signal; a face detection device that detects a human face on the captured image, the face detection device including a lip detection device that detects lip features associated with the detected human face; a voice activity detection (VAD) device that detects presence of human voice in the voice signal; and an anti-spoofing device that detects a spoofing attack according to the detected lip features and the detected human voice.

    Convolutional neural network method and system

    公开(公告)号:US11544523B2

    公开(公告)日:2023-01-03

    申请号:US16424376

    申请日:2019-05-28

    Abstract: A convolutional neural network (CNN) method includes determining a temporary buffer layer, which is located between a first layer and a final layer of a CNN system; performing convolutional operations from the first layer to the determined temporary buffer layer of the CNN system in a first stage to generate a feature map line according to partial input data of layers before the temporary buffer layer; and performing convolutional operations from the temporary buffer layer to the final layer of the CNN system in a second stage to generate a feature map.

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