Wed, 11 May, 15:00 - 15:45 UTC
We present a deep learning-based speech enhancment mobile application, named CITISEN. The CITISEN can perform three functions: speech enhancement (SE), model adaptation (MA), and background noise conversion (BNC). For SE, pretrained SE models can be installed into CITISEN in order to reduce noise components from instant or saved recordings. The MA function finetunes the pretrained SE models to attain imporved SE performance. The BNC first removes the original background noise from the input utterances and then mixes the processed utterances with new background noise. In the demo dession, we will show how to install pretrained SE models to CITISEN and who to use CITISEN as a platform for utilizing and evaluating SE models and flexibly extend the models to address various noise environments and users.