Invention Grant
- Patent Title: Cloud based adaptive learning for distributed sensors
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Application No.: US14930158Application Date: 2015-11-02
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Publication No.: US09721560B2Publication Date: 2017-08-01
- Inventor: Lin Sun , Wei Ma
- Applicant: Texas Instruments Incorporated
- Applicant Address: US TX Dallas
- Assignee: TEXAS INSTRUMENTS INCORPORATED
- Current Assignee: TEXAS INSTRUMENTS INCORPORATED
- Current Assignee Address: US TX Dallas
- Agent John R. Pessetto; Charles A. Brill; Frank D. Cimino
- Main IPC: G10L15/065
- IPC: G10L15/065 ; G10L15/06 ; G06F17/30

Abstract:
A low power sound recognition sensor is configured to receive an analog signal that may contain a signature sound. Sound parameter information is extracted from the analog signal and compared to a sound parameter reference stored locally with the sound recognition sensor to detect when the signature sound is received in the analog signal. A trigger signal is generated when a signature sound is detected. A portion of the extracted sound parameter information is sent to a remote training location for adaptive training when a signature sound detection error occurs. An updated sound parameter reference from the remote training location is received in response to the adaptive training.
Public/Granted literature
- US20160071513A1 CLOUD BASED ADAPTIVE LEARNING FOR DISTRIBUTED SENSORS Public/Granted day:2016-03-10
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