Systems and methods to predict visemes based on text data and audio frames to facilitate display of animations
AssigneeTelo Holdings, Inc.
InventorTimothy James Drennan
Life of this patent
Estimating the term…
Loading patent…
AssigneeTelo Holdings, Inc.
InventorTimothy James Drennan
Estimating the term…
A non-transitory, processor-readable medium stores instructions that cause a processor to provide text data as input to a first machine learning model to determine an emotion state. The instructions further cause the processor to provide the text data and the emotion state as input to a second machine learning model to predict first viseme data that represents a first plurality of visemes. Frame data is generated based on the text data and the emotion state. A first portion of the first viseme data and first portion of the frame data is streamed to a user compute device, and while the first portion of the first viseme data and the first portion of the frame data is being streamed to the user compute device, the frame data is iteratively provided as input to a third machine learning model to generate second viseme data that represents a second plurality of visemes.
A non-transitory, processor-readable medium storing instructions that, when executed by a processor, cause the processor to:
A non-transitory, processor-readable medium storing instructions that, when executed by a processor, cause the processor to:
A method, comprising:
Dependencies are inferred from the claim text.