Invention Grant
- Patent Title: Training data optimization for voice enablement of applications
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Application No.: US15807956Application Date: 2017-11-09
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Publication No.: US10553203B2Publication Date: 2020-02-04
- Inventor: Blaine H. Dolph , David M. Lubensky , Mal Pattiarachi , Marcus D. Roy , Justin Weisz
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Zip Group PLLC
- Main IPC: G10L15/01
- IPC: G10L15/01 ; G10L15/06 ; G06F3/16 ; G10L13/04 ; G10L15/26 ; G06N20/00

Abstract:
Techniques for optimizing training data within voice user interface (VUI) of an application under development are disclosed. A VUI feedback module synthesizes human speech of a training phrase. This phrase is presented upon a speaker which is simultaneously captured upon a microphone. A speech to text framework converts the synthesized training phrase into text (textualized training phrase). The VUI feedback module compares the textualized training phrase to the actual training phrase and generates a speech training data structure that identifies similarities or dissimilarities between the textualized training phrase and the actual training phrase. This data structure may be utilized by an application developer computing system to identify training data that is most venerable to misinterpretation when a user interacts with the VUI. The VUI may subsequently be adjusted to account for the vulnerabilities to improve operations or user experience of the VUI.
Public/Granted literature
- US20190138269A1 Training Data Optimization for Voice Enablement of Applications Public/Granted day:2019-05-09
Information query