公开(公告)号：US12010392B2

公开(公告)日：2024-06-11

申请号：US17583589

申请日：2022-01-25

Applicant: DISH Network L.L.C.

Inventor： Peter Gibbs

IPC: H04N21/485 ,  H04N21/439 ,  H04N21/442 ,  H04N21/466 ,  H04R3/04

CPC classification number: H04N21/4852 ,  H04N21/4394 ,  H04N21/44213 ,  H04N21/4666 ,  H04R3/04 ,  H04R2430/01

Abstract: Various arrangements for performing dynamic volume control are provided. Audio characteristics of audio content being output to a user may be identified. Adjustments made to an audio volume setting by the user while the audio content is being output to the user can be monitored. A machine learning model can be trained based on the adjustments made to the audio volume setting by the user that are mapped with the audio characteristics of the audio content. After the machine learning model is trained, the audio volume setting can be adjusted based at least in part on the trained machine learning model analyzing audio content.

公开(公告)号：US20240292064A1

公开(公告)日：2024-08-29

申请号：US18660821

申请日：2024-05-10

Applicant: DISH Network L.L.C.

Inventor： Peter Gibbs

IPC: H04N21/485 ,  H04N21/439 ,  H04N21/442 ,  H04N21/466 ,  H04R3/04

CPC classification number: H04N21/4852 ,  H04N21/4394 ,  H04N21/44213 ,  H04N21/4666 ,  H04R3/04 ,  H04R2430/01

Abstract: Various arrangements for performing dynamic volume control are provided. Audio characteristics of audio content being output to a user may be identified. Adjustments made to an audio volume setting by the user while the audio content is being output to the user can be monitored. A machine learning model can be trained based on the adjustments made to the audio volume setting by the user that are mapped with the audio characteristics of the audio content. After the machine learning model is trained, the audio volume setting can be adjusted based at least in part on the trained machine learning model analyzing audio content.

公开(公告)号：US20230239541A1

公开(公告)日：2023-07-27

申请号：US17583589

申请日：2022-01-25

Applicant: DISH Network L.L.C.

Inventor： Peter Gibbs

IPC: H04N21/485 ,  H04N21/439 ,  H04N21/442 ,  H04N21/466 ,  H04R3/04

CPC classification number: H04N21/4852 ,  H04N21/4394 ,  H04N21/44213 ,  H04N21/4666 ,  H04R3/04 ,  H04R2430/01

Abstract: Various arrangements for performing dynamic volume control are provided. Audio characteristics of audio content being output to a user may be identified. Adjustments made to an audio volume setting by the user while the audio content is being output to the user can be monitored. A machine learning model can be trained based on the adjustments made to the audio volume setting by the user that are mapped with the audio characteristics of the audio content. After the machine learning model is trained, the audio volume setting can be adjusted based at least in part on the trained machine learning model analyzing audio content.