USING ARTIFICIAL INTELLIGENCE-BASED SOUND TECHNOLOGIES TO IMPROVE ESP LEARNERS' PRONUNCIATION
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This article analyzes the importance and practical aspects of using artificial intelligence-based voice technologies in developing the pronunciation of English for Special Purposes learners. The study was organized on the basis of a quasi-experimental design, with the experimental group trained by performing pronunciation exercises using artificial intelligence, while the control group followed traditional teaching methods. The results showed that the learners who used AI technologies significantly improved their pronunciation accuracy and speech intelligibility, especially positive changes were observed in pronouncing specialized terminology related to the field. In addition, the participants noted that they had increased their enthusiasm for speaking due to the opportunity for quick feedback and repeated repetition of exercises. The results show that AI-based audio tools, when integrated with teacher guidance, can effectively support the pronunciation teaching process within ESP.
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