CCVとCCCV言語の子音取り出しにおけるネガティブトランスファー

抄録

The frequencies of these sounds have yet to be measured comprehensively in relation to word reduction and consolidation. Consequently, the lack of proper instructions on listening materials and techniques for producing sounds with our teeth and tongue inside our mouth undoubtedly leads to vagueness. In the present day, machine learning has been incorporated into traditional classrooms as well as Google Classroom. Recording their voices in series of CCV and CCCV would be beneficial. Additionally, the sounds can be converted to wave frequency. This presentation represents if the machine learning affects sounds correct recognitions.