  The Korean wave, which denotes the global popularity of South Korea's
cultural economy, contributes to the increasing demand for the Korean language.
However, as there does not exist any application for foreigners to learn
Korean, this paper suggested a design of a novel Korean learning application.
Speech recognition, speech-to-text, and speech-to-waveform are the three key
systems in the proposed system. The Google API and the librosa library will
transform the user's voice into a sentence and MFCC. The software will then
display the user's phrase and answer, with mispronounced elements highlighted
in red, allowing users to more easily recognize the incorrect parts of their
pronunciation. Furthermore, the Siamese network might utilize those translated
spectrograms to provide a similarity score, which could subsequently be used to
offer feedback to the user. Despite the fact that we were unable to collect
sufficient foreigner data for this research, it is notable that we presented a
novel Korean pronunciation correction method for foreigners.
