THE ROLE OF SPEECH RECOGNITION AI IN ENHANCING LISTENING AND PRONUNCIATION FOR UZBEK LEARNERS
The integration of speech recognition technology into English as a Foreign Language (EFL) instruction has opened new possibilities for improving learners’ listening comprehension and pronunciation. This study investigates the potential of Artificial Intelligence (AI)-driven speech recognition tools to support Uzbek learners in developing their auditory and oral language skills. Drawing on current practices, learner needs, and the pedagogical limitations of traditional classrooms, the article explores how AI applications such as Duolingo, Elsa Speak, and Google’s Speech-to-Text contribute to more autonomous, personalized, and effective language acquisition. These tools provide real-time corrective feedback, interactive listening input, and pronunciation assessment tailored to individual learners. Uzbek students, often challenged by the phonological differences between English and Uzbek, benefit from repeated exposure, accent variation, and targeted error correction. Despite significant advantages, the implementation of such tools in Uzbekistan faces challenges, including unequal access to technology, limited teacher training, and language interface barriers. The study concludes that, with proper infrastructural and methodological support, speech recognition AI can serve as a valuable aid in enhancing both listening and speaking outcomes in the Uzbek EFL context.