公开(公告)号：US20230088029A1

公开(公告)日：2023-03-23

申请号：US18071865

申请日：2022-11-30

Applicant: Snap Inc.

Inventor： Jinxi Guo ,  Jia Li ,  Ning Xu

IPC: G10L25/30 ,  G06N3/04 ,  H04S7/00 ,  G06K9/62 ,  G06V20/00

Abstract: An acoustic environment identification system is disclosed that can use neural networks to accurately identify environments. The acoustic environment identification system can use one or more convolutional neural networks to generate audio feature data. A recursive neural network can process the audio feature data to generate characterization data. The characterization data can be modified using a weighting system that weights signature data items. Classification neural networks can be used to generate a classification of an environment.

公开(公告)号：US12057136B2

公开(公告)日：2024-08-06

申请号：US18071865

申请日：2022-11-30

Applicant: Snap Inc.

Inventor： Jinxi Guo ,  Jia Li ,  Ning Xu

IPC: G10L25/30 ,  G06F18/24 ,  G06N3/045 ,  G06V10/764 ,  G06V10/82 ,  G06V20/00 ,  H04S7/00

CPC classification number: G10L25/30 ,  G06F18/24 ,  G06N3/045 ,  G06V10/764 ,  G06V10/82 ,  G06V20/00 ,  H04S7/40

Abstract: An acoustic environment identification system is disclosed that can use neural networks to accurately identify environments. The acoustic environment identification system can use one or more convolutional neural networks to generate audio feature data. A recursive neural network can process the audio feature data to generate characterization data. The characterization data can be modified using a weighting system that weights signature data items. Classification neural networks can be used to generate a classification of an environment.

公开(公告)号：US11545170B2

公开(公告)日：2023-01-03

申请号：US17247137

申请日：2020-12-01

Applicant: Snap Inc.

Inventor： Jinxi Guo ,  Jia Li ,  Ning Xu

IPC: G10L25/30 ,  H04S7/00 ,  G06K9/62 ,  G06N3/04 ,  G06V20/00

Abstract: An acoustic environment identification system is disclosed that can use neural networks to accurately identify environments. The acoustic environment identification system can use one or more convolutional neural networks to generate audio feature data. A recursive neural network can process the audio feature data to generate characterization data. The characterization data can be modified using a weighting system that weights signature data items. Classification neural networks can be used to generate a classification of an environment.

公开(公告)号：US20240282330A1

公开(公告)日：2024-08-22

申请号：US18649278

申请日：2024-04-29

Applicant: Snap Inc.

Inventor： Jinxi Guo ,  Jia Li ,  Ning Xu

IPC: G10L25/30 ,  G06F18/24 ,  G06N3/045 ,  G06V10/764 ,  G06V10/82 ,  G06V20/00 ,  H04S7/00

CPC classification number: G10L25/30 ,  G06F18/24 ,  G06N3/045 ,  G06V10/764 ,  G06V10/82 ,  G06V20/00 ,  H04S7/40

Abstract: An acoustic environment identification system is disclosed that can use neural networks to accurately identify environments. The acoustic environment identification system can use one or more convolutional neural networks to generate audio feature data. A recursive neural network can process the audio feature data to generate characterization data. The characterization data can be modified using a weighting system that weights signature data items. Classification neural networks can be used to generate a classification of an environment.

公开(公告)号：US20210082453A1

公开(公告)日：2021-03-18

申请号：US17247137

申请日：2020-12-01

Applicant: Snap Inc.

Inventor： Jinxi Guo ,  Jia Li ,  Ning Xu

IPC: G10L25/30 ,  G06N3/04 ,  G06K9/62 ,  G06K9/00 ,  H04S7/00

Abstract: An acoustic environment identification system is disclosed that can use neural networks to accurately identify environments. The acoustic environment identification system can use one or more convolutional neural networks to generate audio feature data. A recursive neural network can process the audio feature data to generate characterization data. The characterization data can he modified using a weighting system that weights signature data items. Classification neural networks can be used to generate a classification of an environment.