Invention Application
- Patent Title: LINGUISTIC MODEL SELECTION FOR ADAPTIVE AUTOMATIC SPEECH RECOGNITION
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Application No.: US15129590Application Date: 2015-12-24
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Publication No.: US20170364516A1Publication Date: 2017-12-21
- Inventor: Eric Ariel Shellef , Reshef Shilon , Peter Graff , Jonathan Eng , Guillermo Perez , Juan Manuel Lucas , Martin Henk Van Den Berg
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- International Application: PCT/EP2015/081243 WO 20151224
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G10L15/183 ; G10L15/07 ; G10L17/22 ; G10L17/02 ; G06K9/00

Abstract:
The present disclosure describes dynamically adjusting linguistic models for automatic speech recognition based on biometric information to produce a more reliable speech recognition experience. Embodiments include receiving a speech signal, receiving a biometric signal from a biometric sensor implemented at least partially in hardware, determining a linguistic model based on the biometric signal, and processing the speech signal for speech recognition using the linguistic model based on the biometric signal.
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