公开(公告)号：US11138977B1

公开(公告)日：2021-10-05

申请号：US16895419

申请日：2020-06-08

Applicant: Amazon Technologies, Inc.

Inventor： Venkata Snehith Cherukuri ,  Joseph White ,  Vinodth Kumar Mohanam ,  Rami Habal ,  Menghan Li

IPC: G06F15/00 ,  G10L15/00 ,  G10L17/00 ,  G10L15/22 ,  G10L25/84 ,  G10L15/28

Abstract: This disclosure describes, in part, techniques for determining device groupings, or clusters, for multiple voice-enabled devices. The device clusters may be determined based on metadata data for audio signals (or audio data) generated by each of the multiple voice-enabled devices. For example, a remote system may analyze timestamp data for the audio signals received from the devices, and determine that the devices detected the same voice command of a user based on the timestamp data indicating that the audio signals were received within a threshold period of time from each other. Additionally, the remote system may analyze other metadata of the audio data, such as signal-to-noise (SNR) values, and determine that the SNR values are within a threshold value. The remote system may determine device clusters for the voice-enabled devices of a user based on these, and potentially other, types of metadata of the audio signals.

公开(公告)号：US12125483B1

公开(公告)日：2024-10-22

申请号：US17492371

申请日：2021-10-01

Applicant: Amazon Technologies, Inc.

Inventor： Venkata Snehith Cherukuri ,  Joseph White ,  Vinodth Kumar Mohanam ,  Rami Habal ,  Menghan Li

IPC: G10L15/00 ,  G10L15/22 ,  G10L15/28 ,  G10L17/00 ,  G10L25/84

CPC classification number: G10L15/22 ,  G10L15/28 ,  G10L17/00 ,  G10L25/84 ,  G10L2015/223

Abstract: This disclosure describes, in part, techniques for determining device groupings, or clusters, for multiple voice-enabled devices. The device clusters may be determined based on metadata data for audio signals (or audio data) generated by each of the multiple voice-enabled devices. For example, a remote system may analyze timestamp data for the audio signals received from the devices, and determine that the devices detected the same voice command of a user based on the timestamp data indicating that the audio signals were received within a threshold period of time from each other. Additionally, the remote system may analyze other metadata of the audio data, such as signal-to-noise (SNR) values, and determine that the SNR values are within a threshold value. The remote system may determine device clusters for the voice-enabled devices of a user based on these, and potentially other, types of metadata of the audio signals.

公开(公告)号：US10685652B1

公开(公告)日：2020-06-16

申请号：US15928682

申请日：2018-03-22

Applicant: Amazon Technologies, Inc.

Inventor： Venkata Snehith Cherukuri ,  Joseph White ,  Vinodth Kumar Mohanam ,  Rami Habal ,  Menghan Li

IPC: G06F15/00 ,  G10L15/00 ,  G10L17/00 ,  G10L15/22 ,  G10L25/84 ,  G10L15/28

Abstract: This disclosure describes, in part, techniques for determining device groupings, or clusters, for multiple voice-enabled devices. The device clusters may be determined based on metadata data for audio signals (or audio data) generated by each of the multiple voice-enabled devices. For example, a remote system may analyze timestamp data for the audio signals received from the devices, and determine that the devices detected the same voice command of a user based on the timestamp data indicating that the audio signals were received within a threshold period of time from each other. Additionally, the remote system may analyze other metadata of the audio data, such as signal-to-noise (SNR) values, and determine that the SNR values are within a threshold value. The remote system may determine device clusters for the voice-enabled devices of a user based on these, and potentially other, types of metadata of the audio signals.