Invention Grant
- Patent Title: User specified keyword spotting using long short term memory neural network feature extractor
- Patent Title (中): 用户指定关键词使用长期记忆神经网络特征提取器
-
Application No.: US14579603Application Date: 2014-12-22
-
Publication No.: US09508340B2Publication Date: 2016-11-29
- Inventor: Maria Carolina Parada San Martin , Tara N. Sainath , Guoguo Chen
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G10L15/16
- IPC: G10L15/16 ; G10L15/26 ; G10L15/02 ; G06F1/32 ; G10L15/08 ; G10L15/06 ; G10L15/28

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for recognizing keywords using a long short term memory neural network. One of the methods includes receiving, by a device for each of multiple variable length enrollment audio signals, a respective plurality of enrollment feature vectors that represent features of the respective variable length enrollment audio signal, processing each of the plurality of enrollment feature vectors using a long short term memory (LSTM) neural network to generate a respective enrollment LSTM output vector for each enrollment feature vector, and generating, for the respective variable length enrollment audio signal, a template fixed length representation for use in determining whether another audio signal encodes another spoken utterance of the enrollment phrase by combining at most a quantity k of the enrollment LSTM output vectors for the enrollment audio signal.
Public/Granted literature
- US20160180838A1 USER SPECIFIED KEYWORD SPOTTING USING LONG SHORT TERM MEMORY NEURAL NETWORK FEATURE EXTRACTOR Public/Granted day:2016-06-23
Information query