俄语自动识别系统的设计

Yang Wang
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引用次数: 0

摘要

语言识别也叫语言识别。它的目的是使计算机能够根据输入的语音自动识别语言类型。语言识别在网络安全、身份认证、多语言信息服务等领域有着广泛的应用。如今,日益开放的国际环境和互联网的快速发展给语言识别带来了新的挑战。本文在前人研究成果的基础上,设计并实现了一个基于高斯混合模型统一背景模型(GMM UBM)的语言识别系统,主要从特征提取模块、UBM模型训练模块、语言模型训练模块和语言识别模块四个方面进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Automatic Russian Language Recognition System
Language recognition is also called language recognition. Its purpose is to enable the computer to automatically recognize the language type according to an input speech. Language identification is widely used in the fields of network security, authentication, multilingual information services and so on. Nowadays, the increasingly open international environment and the rapid development of the Internet have brought new challenges to language recognition. Based on the previous research results, this paper designs and implements a language recognition system based on Gaussian mixture model unified background model (GMM UBM), mainly from the feature extraction module, UBM model training module, language model training module and language recognition module.
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