Invention Grant
- Patent Title: Deep learning system for determining audio recommendations based on video content
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Application No.: US17361014Application Date: 2021-06-28
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Publication No.: US12080068B2Publication Date: 2024-09-03
- Inventor: Karunakar Gautam , Rahul Gandhi , Anandita Chopra
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Nicholson De Vos Webster & Elliott LLP
- Main IPC: G06V20/40
- IPC: G06V20/40 ; G06F16/64 ; G06F18/21 ; G06F18/214 ; G06F18/25 ; G06N3/08 ; G10L19/02

Abstract:
Embodiments are disclosed for determining an answer to a query associated with a graphical representation of data. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including an unprocessed audio sequence and a request to perform an audio signal processing effect on the unprocessed audio sequence. The one or more embodiments further include analyzing, by a deep encoder, the unprocessed audio sequence to determine parameters for processing the unprocessed audio sequence. The one or more embodiments further include sending the unprocessed audio sequence and the parameters to one or more audio signal processing effects plugins to perform the requested audio signal processing effect using the parameters and outputting a processed audio sequence after processing of the unprocessed audio sequence using the parameters of the one or more audio signal processing effects plugins.
Public/Granted literature
- US20220414381A1 DEEP LEARNING SYSTEM FOR DETERMINING AUDIO RECOMMENDATIONS BASED ON VIDEO CONTENT Public/Granted day:2022-12-29
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