Method and apparatus for artificial intelligence model personalization
AssigneeSamsung Electronics Co., Ltd.
InventorsChiyoun Park, Jaedeok Kim, Youngchul Sohn, Inkwon Choi
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Abstract
Disclosed is an electronic apparatus. The electronic apparatus may include a memory configured to store one or more training data generation models and an artificial intelligence model, and a processor configured to generate personal training data that reflects a characteristic of a user using the one or more training data generation models, train the artificial intelligence model using the personal learning data as training data, and store the trained artificial intelligence model in the memory.
Claims20
An electronic apparatus comprising:
- a touch display;
- a microphone;
- a speaker;
- a memory configured to store a plurality of training data generation models and an artificial intelligence model, wherein the plurality of training data generation models comprises a personal training data generation model trained based on personal use data to generate personal training data that reflects characteristics of a user, and a general training data generation model trained to generate general training data corresponding to general use data of a plurality of users;
- and
- a processor configured to:
- control the touch display or the speaker to provide guide information requesting the personal use data;
- obtain the personal use data through the touch display or the microphone;
- generate the personal training data that reflects a characteristic of the user using the personal use data and the personal training data generation model;
- generate the general training data that reflects a characteristic of the plurality of users;
- identify whether a learning start condition is satisfied based on the artificial intelligence model incorrectly recognizing input data received through the touch display or the microphone a predetermined number of times;
- train the artificial intelligence model using the personal training data and the general training data as training data, based on the learning start condition being satisfied;
- store the artificial intelligence model trained using the personal training data and the general training data in the memory;
- and
- perform recognition of input data received through the touch display or the microphone using the artificial intelligence model trained using the personal training data and the general training data in the memory.
A control method of an electronic apparatus including a touch display, a microphone, and speaker, a plurality of training data generation models and an artificial intelligence model, wherein the plurality of training data generation models includes a personal training data generation model trained based on personal use data to generate personal training data that reflects characteristics of a user and a general training data generation model trained to generate general training data corresponding to general use data of a plurality of users, the control method comprising:
- controlling the touch display or the speaker to provide guide information requesting the personal use data;
- obtaining the personal use data through the touch display or the microphone;
- generating the personal training data that reflects a characteristic of the user using the personal use data and the personal training data generation model;
- generating the general training data that reflects a characteristic of the plurality of users;
- identifying whether a learning start condition is satisfied based on dthe artificial intelligence model incorrectly recognizing input data received through the touch display or the microphone a predetermined number of times;
- training the artificial intelligence model using the personal training data and the general training data as training data, based on the learning start condition being satisfied;
- storing the artificial intelligence model trained using the personal training data and the general training data;
- and
- performing recognition of input data received through the touch display or the microphone using the artificial intelligence model trained using the personal training data and the general training data.
A non-transitory computer-readable medium configured to store a program for performing a method for personalization of an artificial intelligence model in an electronic apparatus using a plurality of training data generation models, wherein the plurality of training data generation models includes a personal training data generation model trained based on personal use data to generate personal training data that reflects characteristics of a user and a general training data generation model trained to generate general training data corresponding to general use data of a plurality of users, the method including:
- controlling a touch display or a speaker to provide guide information requesting the personal use data;
- obtaining the personal use data through the touch display or a microphone;
- generating the personal training data that reflects a characteristic of the user using the personal use data and the personal training data generation model;
- generating the general training data that reflects a characteristic of the plurality of users;
- identifying whether a learning start condition is satisfied based on the artificial intelligence model incorrectly recognizing input data received through the touch display or the microphone a predetermined number of times;
- training the artificial intelligence model using the personal training data and the general training data as training data, based on the learning start condition being satisfied;
- and
- performing recognition of input data received through the touch display or the microphone using the artificial intelligence model trained using the personal training data and the general training data.
Dependencies are inferred from the claim text.