公开(公告)号：US20230223026A1

公开(公告)日：2023-07-13

申请号：US18172960

申请日：2023-02-22

Applicant: Meta Platforms, Inc.

Inventor： James Matthew Grichnik ,  Chetan Parag Gupta ,  Fuchun Peng ,  Yinan Zhang ,  Si Chen

IPC: G10L15/26 ,  H04W4/21 ,  G10L15/08 ,  H04L51/216 ,  H04L51/52 ,  G06Q50/00 ,  H04L67/306

CPC classification number: G10L15/26 ,  H04W4/21 ,  G10L15/08 ,  H04L51/216 ,  H04L51/52 ,  G06Q50/01 ,  H04L67/306

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating contextually relevant transcripts of voice recordings based on social networking data. For instance, the disclosed systems receive a voice recording from a user corresponding to a message thread including the user and one or more co-users. The disclosed systems analyze acoustic features of the voice recording to generate transcription-text probabilities. The disclosed systems generate term weights for terms corresponding to objects associated with the user within a social networking system by analyzing user social networking data. Using the contextually aware term weights, the disclosed systems adjust the transcription-text probabilities. Based on the adjusted transcription-text probabilities, the disclosed systems generate a transcript of the voice recording for display within the message thread.

公开(公告)号：US11610588B1

公开(公告)日：2023-03-21

申请号：US16666157

申请日：2019-10-28

Applicant: Meta Platforms, Inc.

Inventor： James Matthew Grichnik ,  Chetan Parag Gupta ,  Fuchun Peng ,  Yinan Zhang ,  Si Chen

IPC: G10L15/26 ,  G06Q50/00 ,  H04W4/21 ,  H04L67/306 ,  G10L15/08 ,  H04L51/52 ,  H04L51/216

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating contextually relevant transcripts of voice recordings based on social networking data. For instance, the disclosed systems receive a voice recording from a user corresponding to a message thread including the user and one or more co-users. The disclosed systems analyze acoustic features of the voice recording to generate transcription-text probabilities. The disclosed systems generate term weights for terms corresponding to objects associated with the user within a social networking system by analyzing user social networking data. Using the contextually aware term weights, the disclosed systems adjust the transcription-text probabilities. Based on the adjusted transcription-text probabilities, the disclosed systems generate a transcript of the voice recording for display within the message thread.