Personalized Translation Listening System for Age Groups.

Abstract: Present translation systems play back their results with specific speed and volume regardless of the type of user. In this paper, we describe a personalized translation listening system by identifying user information. User groups are classified by age group after inputting speech. This suggested translation system gives the translated result back to the user, speaking at an emphasized speech based on the user''s age. The personalized translation listening system performs age recognition, speech recognition, language recognition, Google machine translation, and TTS web services. We showed the comparison of normal speech and emphasized speech by realizing a user-oriented translation system in a mobile device. A Mean Opinion Score was used for the experiment. Average score of the Mean Opinion Score experiment was 3.21. [Copyright &y& Elsevier]