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 |