Development and Application of Spoken French Corpus Based on AI Speech Recognition

Spoken authentic corpus is of great practical significance for the dynamic research of language and teaching and acquisition of spoken French. Recently, the establishment of the spoken French corpus and empirical research based on spoken authentic corpus has become the direction of language research. Thus, we introduce the establishment and application of AI speech recognition technology in a small French spoken corpus in detail as a platform to conduct an empirical study on the phenomenon of code-switching in French classroom teachers' discourse. In the research, we find that the corpus is objective and effective in revealing the types, motivations, and functions of code-switching in French classroom teachers' discourse. The corpus also provides a reference for future research on the teaching of spoken French based on the corpus.