基于韵律信息的语种辨识系统  

Prosodic Information Used in Language Identification

作　　者：侯丽敏[1] 缪炜[1] 

机构地区：[1]上海大学通信与信息工程学院,上海200072

出　　处：《上海大学学报（自然科学版）》2009年第5期441-444,共4页Journal of Shanghai University:Natural Science Edition

基　　金：上海市教委重点学科建设资助项目(J50104);上海市教委基金资助项目(06AZ033)

摘　　要：提出利用超声层次上的韵律信息来进行语种辨识.在子词分割的基础上结合元音/辅音检测模型,将语音分割为CnV的假音节模型,然后对每个假音节提取一个五维的特征韵律参数.分割结果比传统的分割方法更接近实际的音节结构.在韵律系统中,对所有的语言建立高斯混合模型(GMM),研究模型的离散度和模型间的干扰程度.实验表明,韵律模型对不同的语言、不同的语系和同一语系中不同语言均具有一定的区分效果.This paper deals with automatic language identification based on prosodic features and rhythmic information. A segmentation method has been used to divide the speech signal into sub-word units, and with vowel/consonantal detection, segment the speech into vowel units and consonantal units. Pseudo- syllable units are then produced. Several parameters are extracted and modeled from pseudo-syllable and modeled with a Gaussian mixture model （GMM）. Experiments are performed on free and telephone channel speech. The results show that the sub-word system and the rhythmic system are effective.

关 键 词：语种辨识 韵律 高斯混合模型 

分 类 号：TP391.42[自动化与计算机技术—计算机应用技术]