公开(公告)号：US12032922B2

公开(公告)日：2024-07-09

申请号：US17318170

申请日：2021-05-12

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ji Li ,  Konstantin Seleskerov ,  Huey-Ru Tsai ,  Muin Barkatali Momin ,  Ramya Tridandapani ,  Sindhu Vigasini Jambunathan ,  Amit Srivastava ,  Derek Martin Johnson ,  Gencheng Wu ,  Sheng Zhao ,  Xinfeng Chen ,  Bohan Li

IPC: G06F40/58 ,  G06F3/0481 ,  G06F16/2457 ,  G06F40/205 ,  G10L13/02

CPC classification number: G06F40/58 ,  G06F3/0481 ,  G06F16/24578 ,  G06F40/205 ,  G10L13/02

Abstract: Automatic generation of intelligent content is created using a system of computers including a user device and a cloud-based component that processes the user information. The system performs a process that includes receiving an input document and parsing the input document to generate inputs for a natural language generation model using a text analysis model. The natural language generation model generates one or more candidate presentation scripts based on the inputs. A presentation script is selected from the candidate presentation scripts and displayed. A text-to-speech model may be used to generate a synthesized audio presentation of the presentation script. A final presentation may be generated that includes a visual display of the input document and the corresponding audio presentation in sync with the visual display.

公开(公告)号：US11494396B2

公开(公告)日：2022-11-08

申请号：US17152193

申请日：2021-01-19

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ji Li ,  Amit Srivastava ,  Muin Barkatali Momin ,  Muqi Li ,  Emily Lauren Tohir ,  SivaPriya Kalyanaraman ,  Derek Martin Johnson

IPC: G06F16/248 ,  G06F16/242 ,  G06F16/93 ,  G06F16/2457 ,  G06N3/02

Abstract: Automatic generation of intelligent content is created using a system of computers including a user device and a cloud-based component that processes the user information. The system performs a process that includes receiving a user query for creating content in a content generation application and determining an action from an intent of the user query. A prompt is generated based on the action and provided to a natural language generation model. In response to the prompt, output is received from the natural language generation model. Response content is generated based on the output in a format compatible with the content generation application. At least some of the response content is displayed to the user. The user can choose to keep, edit, or discard the response content. The user can iterate with additional queries until the content document reflects the user's desired content.