Neural network applications in resource constrained environments

    公开(公告)号:US11461636B2

    公开(公告)日:2022-10-04

    申请号:US16267317

    申请日:2019-02-04

    IPC分类号: G06N3/08 G06N3/063 G06N3/04

    摘要: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate first sensor data and second sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the first sensor data. The system may also include a second computing device configured to determine a state of the resource-constrained environment based on input of the second sensor data to the neural network structure. The system may also include a controller located in the resource-constrained environment configured to control a device in the resource-constrained environment based on the state of the resource-constrained environment determined by the second computing device. The second computing device may be further configured to calculate an activation area for the neural network structure.

    Sound normalization and frequency remapping using haptic feedback

    公开(公告)号:US10986454B2

    公开(公告)日:2021-04-20

    申请号:US15970787

    申请日:2018-05-03

    摘要: Method and devices for processing audio signals based on sound profiles are provided. A sound profile can include data related to haptic movement of the audio data which is specific to a left ear or a right ear, demographic information, ethnicity information, age information, location information, social media information, intensity score of the audio data, previous usage information, or device information. A sound profile can be customized for individual user to include the inaudible frequency range at high frequency end and low frequency end. Audio data within the inaudible frequency range can be compensated by haptic movement corresponding to the inaudible frequency range. A sound profile can further include an audio frequency range and its lowest audible volume for a user. A sound profile can be provided to a user without any action from the user's part.

    Dynamic microphone system for autonomous vehicles

    公开(公告)号:US10854202B2

    公开(公告)日:2020-12-01

    申请号:US16389718

    申请日:2019-04-19

    摘要: Devices, systems and processes for a dynamic microphone system that enhances the passenger experience in autonomous vehicles are described. One example method for enhancing a passenger experiences includes generating, using an artificial intelligence algorithm, a plurality of filters based on a plurality of stored waveforms previously recorded by each of one or more passengers and a plurality of recordings of one or more noise sources, capturing voice commands from at least one of the one or more passengers inside the autonomous vehicle, generating voice commands with reduced distortion based on processing the voice commands using the plurality of filters, and instructing, based on the voice commands with reduced distortion, the autonomous vehicle to perform one or more actions.

    NEURAL NETWORK APPLICATIONS IN RESOURCE CONSTRAINED ENVIRONMENTS

    公开(公告)号:US20190171938A1

    公开(公告)日:2019-06-06

    申请号:US16267317

    申请日:2019-02-04

    IPC分类号: G06N3/08 G06N3/063 G06N3/04

    摘要: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate first sensor data and second sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the first sensor data. The system may also include a second computing device configured to determine a state of the resource-constrained environment based on input of the second sensor data to the neural network structure. The system may also include a controller located in the resource-constrained environment configured to control a device in the resource-constrained environment based on the state of the resource-constrained environment determined by the second computing device. The second computing device may be further configured to calculate an activation area for the neural network structure.

    Neural network applications in resource constrained environments

    公开(公告)号:US10210451B2

    公开(公告)日:2019-02-19

    申请号:US15947295

    申请日:2018-04-06

    IPC分类号: G06N3/08 G06N3/063 G06N3/04

    摘要: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate first sensor data and second sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the first sensor data. The system may also include a second computing device configured to determine a state of the resource-constrained environment based on input of the second sensor data to the neural network structure. The system may also include a controller located in the resource-constrained environment configured to control a device in the resource-constrained environment based on the state of the resource-constrained environment determined by the second computing device. The second computing device may be further configured to calculate an activation area for the neural network structure.

    METHODS AND DEVICES FOR CREATING AND MODIFYING SOUND PROFILES FOR AUDIO REPRODUCTION DEVICES
    40.
    发明申请
    METHODS AND DEVICES FOR CREATING AND MODIFYING SOUND PROFILES FOR AUDIO REPRODUCTION DEVICES 审中-公开
    用于创建和修改音频再现设备的声音格式的方法和设备

    公开(公告)号:US20150193195A1

    公开(公告)日:2015-07-09

    申请号:US14514246

    申请日:2014-10-14

    IPC分类号: G06F3/16

    摘要: Method and devices for processing audio signals based on sound profiles are provided. A reproduction device can request a sound profile based on user information, device information, media metadata or a combination. The sound profiles can be customized and shared across multiple devices. User interfaces allow for the input of information that allows the reproduction device or a server in the cloud to select, modify, store, and analyze sound profiles. Deeper analysis allows for the improvement of sound profiles for individuals and groups. Intensity scoring of a music library can also be conducted.

    摘要翻译: 提供了用于基于声音曲线来处理音频信号的方法和装置。 再现设备可以基于用户信息,设备信息,媒体元数据或组合来请求声音简档。 声音配置文件可以通过多个设备进行自定义和共享。 用户界面允许输入允许云中的再现设备或服务器选择,修改,存储和分析声音配置文件的信息。 更深入的分析可以改善个人和团体的健全档案。 也可以进行音乐库的强度评分。