计算机工程2012，Vol.38Issue(23)：177-180,4.DOI:10.3969/j.issn.1000-3428.2012.23.044
发音特征在维汉语音识别中的应用
Application of Articulatory Feature in Uygur and Mandarin Speech Recognition
摘要
Abstract
Speech recognition based on traditional spectral feature is liable to be influenced by the acoustic conditions of the environment. Articulatory Feature(AF) is robust to such conditions. In this paper, the rules of phonetic mapping to AF of Mandarin and Uighur speech are derived. The neural networks are trained to obtain posterior probability of AF. The features are combined with Mel Frequency Cepstral Coefficient(MFCC) and are used to train the hidden Markov based acoustic model. Experimental results show.thpt by combining the MFCC with the feature of voicing or aspiration in Mandarin, the feature of voicing or manner in Uighur, significant error refliifitions can be obtained.关键词
维汉语音识别/多层感知器/声学模型/美尔频率倒谱系数/特征组合Key words
Uygur and Mandarin speech recognition/ Multilayer Perceptron(MLB)/acoustic model/ Mel Frequency Cepstral Coefficient(MFCC)/ feature combination分类
信息技术与安全科学引用本文复制引用
秦春香,黄浩..发音特征在维汉语音识别中的应用[J].计算机工程,2012,38(23):177-180,4.基金项目
国家自然科学基金资助项目(60965002) （60965002）
新疆高校科研计划培育基金资助项目(XJEDU2008S15) （XJEDU2008S15）
新疆大学博士科研启动基金资助项目(BS090143) （BS090143）
