Research on Information Technology in Acoustic Experiment of Mandarin Monosyllabic Tone
Fu Zhang, Gezhi Duojie, Dawa Pengcuo, Lanqing Ou · 2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST) · 2021
This article relies on information technology, uses the method of speech experiment, extracts the fundamental frequency signal of Mandarin pronunciation of Tibetan college students, and normalizes the fundamental frequency into five-degree value. Through research, it is concluded that the tone errors of Aba Tibetan college students are mainly manifested in two aspects of tone pattern and tone value. The tone value of Yinping is generally lower than that of standard Mandarin. The main reason for the pronunciation errors of Yinping and no Yangping are the influence of the negative transfer of their mother tongue. This article can provide some useful experience and reference for Mandarin teaching and artificial intelligence.