Invention Grant
- Patent Title: Privacy-preserving training corpus selection
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Application No.: US14753912Application Date: 2015-06-29
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Publication No.: US09881613B2Publication Date: 2018-01-30
- Inventor: Eugene Weinstein , Pedro J. Moreno Mengibar
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardon P.C.
- Main IPC: G10L15/26
- IPC: G10L15/26 ; G10L15/06 ; G06F21/62 ; G10L15/28 ; H04W4/02 ; H04W4/12

Abstract:
The present disclosure relates to training a speech recognition system. A system that includes an automated speech recognizer and receives data from a client device. The system determines that at least a portion of the received data is likely sensitive data. Before the at least a portion of the received data is deleted, the system provides the at least a portion of the received data to a model training engine that trains recognition models for the automated speech recognizer. After the at least a portion of the received data is provided, the system deletes the at least a portion of the received data.
Public/Granted literature
- US20160379639A1 PRIVACY-PRESERVING TRAINING CORPUS SELECTION Public/Granted day:2016-12-29
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