Google Inc.

Benyah Shaparenko

Olivier Siohan

Joseph A Nelson

Takaki Makino

Ryan Mcdonald

Joshua Maynez

Kishan Sachdeva

Basilio Garcia

Implementations relate to an application that can bias automatic speech recognition for meetings using data that may be associated with the meeting and/or meeting participants. A transcription of inputs provided during a meeting can additionally and/or alternatively be processed to determine whether the inputs should be incorporated into a meeting document, which can provide a summary for the meeting. In some instances, entries into a meeting document can be designated as action items, and those action items can optionally have conditions for reminding meeting participants about the action items and/or for determining whether an action item has been fulfilled. In this way, various tasks that may typically be manually performed by meeting participants, such as creating a meeting summary, can be automated in a more accurate manner. This can preserve resources that may otherwise be wasted during video conferences, in-person meetings, and/or other gatherings.

Meeting speech biasing and/or document generation based on meeting content and/or related data

Growing community of inventors

Rego Park, NY, United States of America

Benyah Shaparenko