Umar Adam IbrahimMoussa Mahamat BoukarMuhammed Aliyu Suleiman2025-01-232022-02-02Ibrahim, Umar Adam et.al. (2022). Graphic User Interface for Hausa Text-to-Speech System. 2nd International Conference on Computing and Machine Learning (ICMI2022978-1-6654-7483-2https://DOI: 10.1109/ICMI55296.2022.9873676https://repository.nileuniversity.edu.ng/handle/123456789/203Natural language processing and Digital signal processing are broadly used methods used to enable systems to understand commands and manipulate speech or text. Most of the Text-to-speech done was for major languages such as English, French and others, with no or little for African languages like Hausa, which are termed under resource languages. In this paper, we developed a graphical user interface for the Hausa Text-to-Speech system. This system converts Hausa text to Hausa audio sound, by processing and analyzing it using natural language processing and Digital Signal Processing. Our graphical user interface, aid in converting entered Hausa language text into Hausa speech.enHausaText-to-SpeechInterfaceSystemArticle