Voice-Input Multimedia Information Retrieval System Based on Text-to-image GAN

In this paper, we develop an integrated multimedia information retrieval system. By utilizing text-to-image Generative Adversarial Network and image-to-text model, the developed system enables users to retrieve an objective content utilizing voice as an input with high accuracy. Experimental results show the effectiveness of the developed system.