English plays a very important role in our daily life and has been a world language for decades, as the global economy is developing so fast nowadays, the learners of English have already realized that the main purpos...English plays a very important role in our daily life and has been a world language for decades, as the global economy is developing so fast nowadays, the learners of English have already realized that the main purpose to learn English is to communicate properly in their real life with the people from other culture, but not to memorize those boring grammar rules and terrible vocabularies which will appear in their English examinations. Consequently, it has become an important task for English teachers to think about how to develop students' language abilities for real communication. Nowadays, Communicative Language Teaching(CLT) has become a very popular teaching approach in China. CLT pays a lot attention to the social and functional elements in language daily use.展开更多
针对目前方法进行英语口语发音校正时,存在漏校正数量较高的问题,提出了基于DIVA模型的英语辅音发音错误自动校正方法。该方法首先依据DIVA模型(Directions into Velocities of Articulators Model)生成学习者语音辅音发音数据;结合HMM...针对目前方法进行英语口语发音校正时,存在漏校正数量较高的问题,提出了基于DIVA模型的英语辅音发音错误自动校正方法。该方法首先依据DIVA模型(Directions into Velocities of Articulators Model)生成学习者语音辅音发音数据;结合HMM模型(Hidden Markov Model)建立学习者口语发音模型对数据进行训练提取数据特征;最后通过混淆的矩阵因素聚类算法计算学习者发音特征与正确发音数据之间的相似度,获取校正系数值,完成口语发音错误的校正。实验结果表明,运用该方法校正口语发音时的校正数量较高、校正成功率较好、漏校正数量较低。展开更多
文摘English plays a very important role in our daily life and has been a world language for decades, as the global economy is developing so fast nowadays, the learners of English have already realized that the main purpose to learn English is to communicate properly in their real life with the people from other culture, but not to memorize those boring grammar rules and terrible vocabularies which will appear in their English examinations. Consequently, it has become an important task for English teachers to think about how to develop students' language abilities for real communication. Nowadays, Communicative Language Teaching(CLT) has become a very popular teaching approach in China. CLT pays a lot attention to the social and functional elements in language daily use.
文摘针对目前方法进行英语口语发音校正时,存在漏校正数量较高的问题,提出了基于DIVA模型的英语辅音发音错误自动校正方法。该方法首先依据DIVA模型(Directions into Velocities of Articulators Model)生成学习者语音辅音发音数据;结合HMM模型(Hidden Markov Model)建立学习者口语发音模型对数据进行训练提取数据特征;最后通过混淆的矩阵因素聚类算法计算学习者发音特征与正确发音数据之间的相似度,获取校正系数值,完成口语发音错误的校正。实验结果表明,运用该方法校正口语发音时的校正数量较高、校正成功率较好、漏校正数量较低。
