公开(公告)号：US11776530B2

公开(公告)日：2023-10-03

申请号：US16650161

申请日：2017-11-15

Applicant: INTEL CORPORATION

Inventor： Gabriel Amores ,  Guillermo Perez ,  Moshe Wasserblat ,  Michael Deisher ,  Loic Dufresne de Virel

IPC: G10L15/06 ,  G10L15/16 ,  G10L15/183 ,  G10L15/07 ,  G10L15/065

CPC classification number: G10L15/063 ,  G10L15/065 ,  G10L15/075 ,  G10L15/16 ,  G10L15/183 ,  G10L2015/0631 ,  G10L2015/0635

Abstract: An apparatus for speech model with personalization via ambient context harvesting, is described herein. The apparatus includes a microphone, context harvesting module, confidence module, and training module. The context harvesting module is to determine a context associated with the captured audio signals. A confidence module is to determine a confidence of the context as applied to the audio signals. A training module is to train a neural network in response to the confidence being above a predetermined threshold.

公开(公告)号：US20200243069A1

公开(公告)日：2020-07-30

申请号：US16650161

申请日：2017-11-15

Applicant: INTEL CORPORATION

Inventor： Gabriel Amores ,  Guillermo Perez ,  Moshe Wasserblat ,  Michael Deisher ,  Loic Dufresne de Virel

IPC: G10L15/06 ,  G10L15/16 ,  G10L15/183

Abstract: An apparatus for speech model with personalization via ambient context harvesting, is described herein. The apparatus includes a microphone, context harvesting module, confidence module, and training module. The context harvesting module is to determine a context associated with the captured audio signals. A confidence module is to determine a confidence of the context as applied to the audio signals. A training module is to train a neural network in response to the confidence being above a predetermined threshold.