Invention Grant
- Patent Title: Context-dependent state tying using a neural network
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Application No.: US14282655Application Date: 2014-05-20
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Publication No.: US09620145B2Publication Date: 2017-04-11
- Inventor: Michiel A. U. Bacchiani , David Rybach
- 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 ; G10L25/30 ; G10L15/26 ; G10L15/06 ; G10L15/22 ; G10L15/183

Abstract:
The technology described herein can be embodied in a method that includes receiving an audio signal encoding a portion of an utterance, and providing, to a first neural network, data corresponding to the audio signal. The method also includes generating, by a processor, data representing a transcription for the utterance based on an output of the first neural network. The first neural network is trained using features of multiple context-dependent states, the context-dependent states being derived from a plurality of context-independent states provided by a second neural network.
Public/Granted literature
- US20150127327A1 CONTEXT-DEPENDENT STATE TYING USING A NEURAL NETWORK Public/Granted day:2015-05-07
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