发明名称 Sectioned memory networks for online word-spotting in continuous speech
摘要 Systems, methods, and computer program products to detect a keyword in speech, by generating, from a sequence of spectral feature vectors generated from the speech, a plurality of blocked feature vector sequences, and analyzing, by a neural network, each of the plurality of blocked feature vector sequences to detect the presence of the keyword in the speech.
申请公布号 US9570069(B2) 申请公布日期 2017.02.14
申请号 US201414481372 申请日期 2014.09.09
申请人 Disney Enterprises, Inc. 发明人 Lehman Jill F.;Baljekar Pallavi N.;Singh Rita
分类号 G10L15/02;G10L15/16;G10L15/08 主分类号 G10L15/02
代理机构 Patterson + Sheridan, LLP 代理人 Patterson + Sheridan, LLP
主权项 1. A method to detect a keyword in speech, comprising: generating, from a sequence of spectral feature vectors generated from the speech, a plurality of blocked feature vector sequences, wherein each of the plurality of blocked feature vector sequences comprises a respective subset of the plurality of feature vectors, wherein each of the plurality of blocked feature vector sequences overlap adjacent blocked feature vector sequences by a predefined count of feature vector sequences; and analyzing, by a neural network executing on one or more computer processors, each of the plurality of blocked feature vector sequences to detect the presence of the keyword in the speech.
地址 Burbank CA US
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