基于语言识别的方言自动识别技术开发研究

Yuanyuan Yang, Kailei Li, Rui Guo, Yun Yan
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引用次数: 1

摘要

本文分析了国内外音素级特征特别是基于底层声学特征的语言识别方法和方言识别技术的发展和演变,说明了基于语言识别方法的方言识别技术研究包括特征提取和模型建立两个部分;重点介绍了基于i向量特征和神经网络建模方法的方言识别技术的发展现状,以及研究重点和难点的不断突破。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Development of Automatic Dialect Identification Technology Based on Language Recognition
This paper analyzes the development and evolution of phoneme-level features, especially language recognition methods based on underlying acoustic features, and Dialect identification technology at home and abroad, which Explains that the research of Dialect identification technology based on language recognition methods consists of feature extraction and model establishment, and highlights the current development of Dialect Identification technology based on i-vector features and neural network modeling methods and continuous breakthroughs in research key and difficult points.
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