Speech recognition and machine translation technologies in intelligent college English education: a multidisciplinary approach

College English course is a public basic subject for undergraduate majors, and the traditional teaching mode has the status quo of teaching separation, insufficient attention of students and poor initiative of students' learning, etc. With the rapid development of information technology, translation technology and speech recognition technology are gradually being integrated into college English teaching, which promotes the innovation and optimization of the traditional teaching mode. This paper discusses the application and integration of translation technology and speech recognition technology in university English teaching from an interdisciplinary perspective. It analyzes the role of translation technology in the cultivation of reading and writing ability in language teaching; focuses on the advantages of speech recognition technology in listening and speaking training and its enhancement of learners' language expression ability; and discusses the innovative significance of the integration of interdisciplinary technology in the multimodal teaching mode with the combination of cases. The study shows that the organic combination of translation technology and speech recognition technology can not only improve the efficiency and quality of university English teaching, but also provide new ideas and directions for the deep integration of educational technology and language teaching, so as to achieve the purpose of enhancing students' motivation to learn English, strengthening the cultivation of students' humanistic qualities, and improving students' independent learning ability and communicative competence.