An Albanian Text-to-Speech System for the BabelDr Medical Speech Translator

In this paper we present work on creating and evaluating a Text-to-Speech system for the Albanian language to be used in the BabelDr medical speech translation system. Its quality was assessed by twelve native speakers who provided feedback on 60 prompts generated by the synthesizer and on 60 real human recordings across three dimensions, namely comprehensibility, naturalness and likeability. The results suggest that the newly created voice can be incorporated in the content creation pipeline of the BabelDr platform