基于韵律信息的连续语流调型评测研究  

Tone Evaluation of Chinese Continuous Speech Based on Prosodic Words

作　　者：潘逸倩[1] 魏思[1] 王仁华[1] 

机构地区：[1]中国科学技术大学讯飞语音实验室,安徽合肥230027

出　　处：《中文信息学报》2008年第4期88-93,共6页Journal of Chinese Information Processing

基　　金：国家"十五"重点资助项目(ZDI105-B02)

摘　　要：汉语连续语流中的调型评测是汉语语音评测的一个重要环节,利用连续语流中韵律耦合效应和韵律结构紧密相关这一特性,以韵律词为基本建模单元,建立基于多空间概率分布的HMM调型模型(MSD-HMM),使得汉语普通话水平评测系统针对标准连续语流的调型识别率从82.0%提升至84.6%;针对有方言背景的非标准发音,机器评分与专家评分的相关度绝对提升超过3.0%。The tone evaluation of Chinese continuous speech is a key aspect in Mandarin Chinese pronunciation test. Taking advantage of the close correlation between the prosody framework and the modified tonal curve, this paper presents a Multi-Space Distribution Hidden Markov Model （MSD-HMM） built on the prosodic word for the tone evaluation. The experimental results show that the proposed Mandarin Chinese Pronunciation Evaluation System improves from 82.0% to 84.6% in the performance of tonal syllable error rate for the standard Chinese continuous speech. And for the non-standard Chinese Mandarin speech, the correlation between computer score and expert score achieves over 3.0% absolute improvements compared with that of the baseline system without tone pronunciation test.

关 键 词：计算机应用 中文信息处理 语音评测 调型评测 调型识别 韵律词 MSD-HMM 

分 类 号：TN912.3[电子电信—通信与信息系统]