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 |
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代理人 |
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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 |