公开(公告)号：US11222625B2

公开(公告)日：2022-01-11

申请号：US16384397

申请日：2019-04-15

Applicant: Ademco Inc.

Inventor： Pradyumna Sampath ,  Ramprasad Yelchuru ,  Purnaprajna R. Mangsuli

IPC: G10L15/18 ,  G06F9/54 ,  G06N20/00

Abstract: Systems and methods for training a control panel to recognize user defined and preprogrammed sound patterns are provided. Such systems and methods can include the control panel operating in a learning mode, receiving initial ambient audio from a region, and saving the initial ambient audio as an audio pattern in a memory device of the control panel. Such systems and methods can also include the control panel operating in an active mode, receiving subsequent ambient audio from the region, using an audio classification model to make an initial determination as to whether the subsequent ambient audio matches or is otherwise consistent with the audio pattern, determining whether the initial determination is correct, and when the control panel determines that the initial determination is incorrect, modifying or updating the audio classification model for improving the accuracy in detecting future consistency with the audio pattern.

公开(公告)号：US20200327885A1

公开(公告)日：2020-10-15

申请号：US16384397

申请日：2019-04-15

Applicant: Ademco Inc.

Inventor： Pradyumna Sampath ,  Ramprasad Yelchuru ,  Purnaprajna R. Mangsuli

IPC: G10L15/18 ,  G06N20/00 ,  G06F9/54

Abstract: Systems and methods for training a control panel to recognize user defined and preprogrammed sound patterns are provided. Such systems and methods can include the control panel operating in a learning mode, receiving initial ambient audio from a region, and saving the initial ambient audio as an audio pattern in a memory device of the control panel. Such systems and methods can also include the control panel operating in an active mode, receiving subsequent ambient audio from the region, using an audio classification model to make an initial determination as to whether the subsequent ambient audio matches or is otherwise consistent with the audio pattern, determining whether the initial determination is correct, and when the control panel determines that the initial determination is incorrect, modifying or updating the audio classification model for improving the accuracy in detecting future consistency with the audio pattern.