CPC G06F 18/41 (2023.01) [A61B 5/165 (2013.01); G06F 18/2148 (2023.01); G16H 50/20 (2018.01); G06N 20/00 (2019.01)] | 30 Claims |
1. A method for obtaining training data for predicting expressions from received media data comprising:
displaying a predefined media content and a plurality of predefined expression tags;
receiving, from a user, a selection of one or more expression tags from the plurality of predefined expression tags;
receiving a recording of the user imitating the predefined media content;
storing the recording in association with the selected one or more expression tags as training data; and
training a machine learning model, the machine-learning model configured to receive input media data and predict an expression based on the input media data.
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19. A method for predicting one or more expressions in a media data, comprising:
receiving the media data;
inputting the received media data into a trained machine-learning model, the machine-learning model trained by a process comprising:
displaying a predefined media content and a plurality of predefined expression tags;
receiving, from a user, a selection of one or more expression tags from the plurality of predefined expression tags;
receiving a recording of the user imitating the predefined media content; and
storing, as training data, the recording in association with the selected one or more expression tags; and
predicting the one or more expressions in the received media data based on an output of the trained machine-learning model.
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23. A system for predicting one or more expressions in a media data, comprising:
one or more processors; and
a memory communicatively coupled to the one or more processors and configured to store instructions that, when executed by the one or more processors, cause the system to:
receive the media data;
input the received media data into a trained machine-learning model, the machine-learning model trained by a process comprising:
displaying a predefined media content and a plurality of predefined expression tags;
receiving, from a user, a selection of one or more expression tags from the plurality of predefined expression tags;
receiving a recording of the user imitating the predefined media content; and
storing, as training data, the recording in association with the selected one or more expression tags; and
predict the one or more expressions in the received media data based on an output of the trained machine-learning model.
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