发明名称 Adaptive environmental context sample and update for comparing speech recognition
摘要 A low power sound recognition sensor is configured to receive an analog signal that may contain a signature sound. Sparse sound parameter information is extracted from the analog signal. The extracted sound parameter information is sampled in a periodic manner and a context value is updated to indicate a current environmental condition. The sparse sound parameter information is compared to both the context value and a signature sound parameter database stored locally with the sound recognition sensor to identify sounds or speech contained in the analog signal, such that identification of sound or speech is adaptive to the current environmental condition.
申请公布号 US9412373(B2) 申请公布日期 2016.08.09
申请号 US201314013015 申请日期 2013.08.28
申请人 Texas Instruments Incorporated 发明人 Ma Wei;Tan Bozhao
分类号 G10L17/00;G10L15/28;G10L15/065;G10L15/02;G10L25/78;G10L17/02;G10L15/22 主分类号 G10L17/00
代理机构 代理人 Bassuk Lawrence J.;Cimino Frank D.
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 sparse sound parameter information from the analog signal; sampling the extracted sparse sound parameter information in a periodic manner and updating an environmental context value to indicate a current environmental condition; and comparing the sparse sound parameter information to both the environmental context value and a signature sound parameter database stored locally with the sound recognition sensor to identify sounds or speech contained in the analog signal, such that identification of sound or speech is adaptive to the current environmental condition.
地址 Dallas TX US