日语发音练习中的语音特征提取与识别模型

Biqin Huang
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引用次数: 1

摘要

在学习日语的初始阶段,最常见的问题就是各种发音错误。造成这些错误的主要原因是汉语和日语在发音位置和语言系统上的差异。语言学习应该理论联系实际,多花时间和学生一起练习。实践证明,语言的掌握需要大量的实践,过多的理论可能会阻碍学生对语言的灵活掌握。一些媒体数据,如音频数据,可以转换成时间序列进行研究。对转换后的语音时间序列进行相似度测量(模式匹配),可以找到相似的语音信号,也可以称为语音识别技术。随着智能控制技术的迅速发展,语音信号处理引起了研究人员的广泛关注和高度重视。
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Phonetic Feature Extraction and Recognition Model in Japanese Pronunciation Practice
In the initial stage of learning Japanese, the most common problem is a variety of mistakes in pronunciation. The main reason for these errors is the difference between Chinese and Japanese in pronunciation position and language system. Language learning should combine theory with practice and spend more time on practice with students. Practice has proved that language mastery requires a lot of practical practice, and too much theory may hinder students' flexible mastery of the language. Some media data, such as audio data, can be converted into time series for research. The similarity measurement (pattern matching) of the converted speech time series can find the similar speech signals, which can also be called speech recognition technology. With the rapid development of intelligent control technology, speech signal processing has attracted extensive attention and high attention of researchers.
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