A Method for Detecting False Pronunciation in Japanese Online Teaching

In order to accurately distinguish the wrong language signals and word signals in the process of online Japanese teaching, and realize the accurate detection of oral pronunciation errors, this paper studies the detection methods of oral pronunciation errors in the process of online Japanese teaching. According to the phoneme characteristics, the key audio features are extracted, and then the quality of Japanese pronunciation is evaluated by solving the linear prediction coefficient. On this basis, the corpus and pronunciation test set are constructed, and the oral signals are combined to determine the value range of detection interpolation, and the design of oral error pronunciation detection method in the process of online Japanese teaching is completed. The experimental results show that the accuracy of error language signal and word signal is more than 90% under the above method, which is in line with the practical application requirements of accurate detection of incorrect pronunciation in spoken Japanese.