Synthetically generated speech (SGS) is computer-generated audio output produced through advanced text-to-speech (TTS) technologies. SGS offers a promising alternative to traditional listening skills practice materials by providing consistent and customizable listening input. This entry reviews recent advancements in SGS technology and its applications in computer-assisted language learning (CALL), highlighting its potential to provide diverse linguistic input, enhance listening comprehension skills, and reduce materials production costs. Challenges are discussed, including the lack of naturalness that is characteristic of synthetic speech, and other current limitations of SGS technology. The entry concludes by identifying key areas for future research, including the empirical assessment of SGS’s pedagogical efficacy, its integration with adaptive learning technologies, and its impact on various aspects of language proficiency.