发明名称 Cloud Based Adaptive Learning for Distributed Sensors
摘要 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.
申请公布号 US2015066497(A1) 申请公布日期 2015.03.05
申请号 US201314013009 申请日期 2013.08.28
申请人 Texas Instruments Incorporated 发明人 Sun Lin;Ma Wei
分类号 G10L15/065 主分类号 G10L15/065
代理机构 代理人
主权项 1. A method for operating a sound recognition sensor, the method comprising: receiving an analog signal that may contain a signature sound; extracting sound parameter information from the analog signal; comparing the sound parameter information to a sound parameter reference stored locally with the sound recognition sensor to detect when the signature sound is received in the analog signal; generating a trigger signal when a signature sound is detected; sending a portion of the extracted sound parameter information to a remote training location for adaptive training when a signature sound detection error occurs; and receiving an updated sound parameter reference from the remote training location in response to the adaptive training.
地址 Dallas TX US