Abstract: A method of generating an application by using an artificial neural network model includes a data processing step of pre-processing training data, a model training step of training the artificial neural network model based on the preprocessed training data, and an application making step of receiving an input for editing one or more components included in the application and an input for setting a connection relationship between the one or more components. The one or more components include the artificial neural network model.

Abstract: A method of generating a voice for each speaker from audio content including a section in which at least two or more speakers simultaneously speak is provided. The method includes dividing the audio content into one or more single-speaker sections and one or more multi-speaker sections, determining a speaker feature value corresponding to each of the one or more single-speaker sections, generating grouping information by grouping the one or more single-speaker sections based on a similarity of the determined speaker feature value, determining a speaker feature value for each speaker by referring to the grouping information, and generating a voice of each of multiple speakers in each section from each of the one or more multi-speaker sections by using a trained artificial neural network and the speaker feature value for each individual speaker.