公开(公告)号：US20230162728A1

公开(公告)日：2023-05-25

申请号：US18070830

申请日：2022-11-29

Applicant: Amazon Technologies, Inc.

Inventor： Christin Jose ,  Yuriy Mishchenko ,  Anish N. Shah ,  Alex Escott ,  Parind Shah ,  Shiv Naga Prasad Vitaladevuni ,  Thibaud Senechal

IPC: G10L15/16 ,  G06F17/15 ,  G10L15/06

CPC classification number: G10L15/16 ,  G06F17/15 ,  G10L15/063 ,  G10L2015/088

Abstract: A system and method performs wakeword detection using a feedforward neural network model. A first output of the model indicates when the wakeword appears on a right side of a first window of input audio data. A second output of the model indicates when the wakeword appears in the center of a second window of input audio data. A third output of the model indicates when the wakeword appears on a left side of a third window of input audio data. Using these outputs, the system and method determine a beginpoint and endpoint of the wakeword.

公开(公告)号：US11521599B1

公开(公告)日：2022-12-06

申请号：US16577351

申请日：2019-09-20

Applicant: Amazon Technologies, Inc.

Inventor： Christin Jose ,  Yuriy Mishchenko ,  Anish N. Shah ,  Alex Escott ,  Parind Shah ,  Shiv Naga Prasad Vitaladevuni ,  Thibaud Senechal

IPC: G10L15/16 ,  G06F17/15 ,  G10L15/06 ,  G10L15/08

Abstract: A system and method performs wakeword detection using a feedforward neural network model. A first output of the model indicates when the wakeword appears on a right side of a first window of input audio data. A second output of the model indicates when the wakeword appears in the center of a second window of input audio data. A third output of the model indicates when the wakeword appears on a left side of a third window of input audio data. Using these outputs, the system and method determine a beginpoint and endpoint of the wakeword.