Invention Grant
- Patent Title: Convolutional, long short-term memory, fully connected deep neural networks
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Application No.: US14847133Application Date: 2015-09-08
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Publication No.: US10783900B2Publication Date: 2020-09-22
- Inventor: Tara N. Sainath , Andrew W. Senior , Oriol Vinyals , Hasim Sak
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Honigman LLP
- Agent Brett A. Krueger
- Main IPC: G10L25/30
- IPC: G10L25/30 ; G10L15/16 ; G06N3/04 ; G10L15/02

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying the language of a spoken utterance. One of the methods includes receiving input features of an utterance; and processing the input features using an acoustic model that comprises one or more convolutional neural network (CNN) layers, one or more long short-term memory network (LSTM) layers, and one or more fully connected neural network layers to generate a transcription for the utterance.
Public/Granted literature
- US20160099010A1 CONVOLUTIONAL, LONG SHORT-TERM MEMORY, FULLY CONNECTED DEEP NEURAL NETWORKS Public/Granted day:2016-04-07
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