公开(公告)号：US12272383B1

公开(公告)日：2025-04-08

申请号：US18412549

申请日：2024-01-14

Applicant: Amazon Technologies, Inc.

Inventor： Rohun Tripathi ,  Angshuman Saha ,  Naveen Sudhakaran Nair

IPC: G11B27/031 ,  G06F40/58 ,  G06V10/774 ,  G06V10/82 ,  G06V20/40 ,  G10L17/02 ,  G10L17/04 ,  G10L17/06 ,  G10L17/18 ,  G10L21/013 ,  G10L25/57

Abstract: Systems and techniques for validation and generation of localized content for audio and video are described herein. The systems and techniques provide for training of twin neural networks to evaluate performance characteristics, sometimes referred to as content-auxiliary characteristics, of a localized performance. The localized performance may be validated or improved by identifying misalignment in the performance characteristics to ensure that localized content preserves content as well as creative intent and performance ability in the final product. The machine learning models trained using the techniques described herein may be used in connection with auto-localization processes to automatically generate high quality localized audio and video content.

公开(公告)号：US11875822B1

公开(公告)日：2024-01-16

申请号：US17748990

申请日：2022-05-19

Applicant: Amazon Technologies, Inc.

Inventor： Rohun Tripathi ,  Angshuman Saha ,  Naveen Sudhakaran Nair

IPC: G11B27/031 ,  G06V20/40 ,  G06V10/82 ,  G06V10/774 ,  G10L25/57 ,  G10L17/02 ,  G06F40/58 ,  G10L17/18 ,  G10L17/04 ,  G10L21/013 ,  G10L17/06

CPC classification number: G11B27/031 ,  G06F40/58 ,  G06V10/774 ,  G06V10/82 ,  G06V20/41 ,  G10L17/02 ,  G10L17/04 ,  G10L17/06 ,  G10L17/18 ,  G10L21/013 ,  G10L25/57 ,  G10L2021/0135

Abstract: Systems and techniques for validation and generation of localized content for audio and video are described herein. The systems and techniques provide for training of twin neural networks to evaluate performance characteristics, sometimes referred to as content-auxiliary characteristics, of a localized performance. The localized performance may be validated or improved by identifying misalignment in the performance characteristics to ensure that localized content preserves content as well as creative intent and performance ability in the final product. The machine learning models trained using the techniques described herein may be used in connection with auto-localization processes to automatically generate high quality localized audio and video content.