QQ客服 官方微博 反馈留言

	针对汉语声母发音的辅助教师系统的研究
	刘刚 ; 叶大田 ; LIU Gang ; YE Datian
	2010-05-13 ; 2010-05-13
关键词	语言康复 聋哑 声母 语音教学系统 口语教学 视觉反馈 隐马尔可夫模型 language rehabilitation deaf-dumb initial CALL language learning visual feedback HMM TP319
其他题名	Research on the Chinese initial pronunciation computer-aided language learning system
中文摘要	为了帮助聋哑人士早日进行语言康复,本文以汉语声母为例设计了一个利用自动语音识别技术进行发音训练的计算机辅助语音教学系统。首先由标准语音教师进行声母录音以建立语料库,同时提取关键发音口型视频。然后提取语料的动静态特征作为训练和识别的依据。利用连续密度隐马尔可夫模型(hidden Markov model)建模,并应用嵌入式算法进行训练。最后利用信令传递算法和识别网络进行识别。教师汉语声母集外识别率为96.65%,这意味着该系统可以作为汉语声母发音学习的基准系统。借助视觉反馈的发音改进对比实验证明该语音学习系统可以有效帮助聋哑人士进行语音学习。; In order to facilitate the language rehabilitation of the hearing impaired person,an automatic speech recognition-based computer-aided language learning(CALL)system is designed.Firstly,an utterance database produced by a standard spoken teacher is established and the key pronunciation mouth shape frames are recorded.Secondly,the static and dynamic features are extracted from the utterance database and we apply the continuous density hidden markov model(CDHMM) to imitate Chinese initial,which is trained with embedded training algorithm and performs recognition task with token passing algorithm and recognition network.The outside test recognition rate of the teacher pronunciation is 96.65%,which means that the system can reasonably work as the benchmark system of the Chinese initial pronunciation learning.Finally,the performance comparison experiment based on visual feedback proves that the system can aid the deaf-dumb to recover language ability effectively.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/32720]
专题	清华大学
推荐引用方式 GB/T 7714	刘刚,叶大田,LIU Gang,等. 针对汉语声母发音的辅助教师系统的研究[J],2010, 2010.
APA	刘刚,叶大田,LIU Gang,&YE Datian.(2010).针对汉语声母发音的辅助教师系统的研究..
MLA	刘刚,et al."针对汉语声母发音的辅助教师系统的研究".(2010).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。