公开(公告)号：US20240160298A1

公开(公告)日：2024-05-16

申请号：US18070695

申请日：2022-11-29

Applicant: Google LLC

Inventor： Rajeev Nongpiur ,  Roy Want ,  Qian Zhang ,  JinJie Chen ,  Der-Woei Wu ,  Cody Wortham ,  Aleksandr Salo ,  Marie Vachovsky

IPC: G06F3/0354 ,  G06F3/01

CPC classification number: G06F3/0354 ,  G06F3/017

Abstract: Techniques for controlling a remotely controllable device are described. In an example, a mobile device detects a remotely controllable device, measures a distance and direction from the mobile device to the remotely controllable device, and determines from the distance and direction that the mobile device is pointing at the remotely controllable device. In response to determining that the mobile device is in a handheld position, is pointing at the remotely controllable device, or both, the mobile device monitors for a movement of the mobile device according to a prescribed gesture. In response to detecting that the mobile device was moved according to the prescribed gesture, the mobile device presents a collection of selectable actions control operations of the remotely controllable device.

公开(公告)号：US12073319B2

公开(公告)日：2024-08-27

申请号：US16940294

申请日：2020-07-27

Applicant: GOOGLE LLC

Inventor： Rajeev Conrad Nongpiur ,  Byungchul Kim ,  Marie Vachovsky ,  Monica Song ,  Khe Chai Sim ,  Qian Zhang

IPC: G06N3/08 ,  G06N3/047 ,  G10L25/51

CPC classification number: G06N3/08 ,  G06N3/047 ,  G10L25/51

Abstract: Systems and techniques are provided for sound model localization within an environment. Sound recordings of sounds in the environment may be received from devices in the environment. Preliminary labels for the sound recordings may be determined using pre-trained sound models. The preliminary labels may have associated probabilities. Sound clips with preliminary labels may be generated based on sound recordings that have preliminary labels whose probability is over a high-recall threshold for the pre-trained sound model that determined the preliminary label. The sound clips with preliminary labels may be sent to a user device. Labeled sound clips may be received from the user device. The labeled sound clips may be based on the sound clips with preliminary labels. Training data sets may be generated for the pre-trained sound models using the labeled sound clips. The pre-trained sound models may be trained using the training data sets to generate localized sound models.

公开(公告)号：US20220027725A1

公开(公告)日：2022-01-27

申请号：US16940294

申请日：2020-07-27

Applicant: GOOGLE LLC

Inventor： Rajeev Conrad Nongpiur ,  Byungchul Kim ,  Marie Vachovsky ,  Monica Song ,  Khe Chai Sim ,  Qian Zhang

IPC: G06N3/08 ,  G10L25/51 ,  G06N3/04

Abstract: Systems and techniques are provided for sound model localization within an environment. Sound recordings of sounds in the environment may be received from devices in the environment. Preliminary labels for the sound recordings may be determined using pre-trained sound models. The preliminary labels may have associated probabilities. Sound clips with preliminary labels may be generated based on sound recordings that have preliminary labels whose probability is over a high-recall threshold for the pre-trained sound model that determined the preliminary label. The sound clips with preliminary labels may be sent to a user device. Labeled sound clips may be received from the user device. The labeled sound clips may be based on the sound clips with preliminary labels. Training data sets may be generated for the pre-trained sound models using the labeled sound clips. The pre-trained sound models may be trained using the training data sets to generate localized sound models.