本文選題：兒童言語溝通障礙 + 輔助溝通�。� 參考：《浙江大學》2017年碩士論文

【摘要】：我國存在言語溝通障礙的兒童數量較多,根據調查估計目前存在言語溝通障礙的兒童大約有一千萬人,但國內針對這方面的研究、治療相較于國外起步較晚,且目前國內對這些兒童的治療方式以上特殊學校、醫(yī)院,使用特殊設備進行一對一治療為主。由于基數過大,這些手段很難惠及到所有的家庭,大量存在言語溝通障礙的兒童無法進行言語康復的訓練,無法正常地和人交流。近年來,語音相關技術在各個領域開花結果,但是在語言溝通障礙兒童的輔助溝通、康復訓練領域,基于常用移動設備如手機、平板電腦實現輔助溝通,在其中結合語音識別技術的相關成果、產品在國內并不多見,而且目前并沒有引起足夠的重視。本文結合國內外針對言語溝通障礙兒童的輔助溝通、康復訓練的研究現狀和發(fā)展趨勢,結合語音相關技術的應用,對適用于存在言語溝通障礙的兒童言語溝通障礙康復訓練系統在Android平臺上進行了設計和實現。本文首先針對言語溝通障礙兒童的特點,設計了基于圖標的輔助輸入、溝通系統,用戶只需在Android設備上通過輕敲相應的圖標,就可以完成內容的輸入,這些符號不僅自身都可以發(fā)音,輸入完一個句子之后還可以自動生成自然的語音。在此基礎上本文設計了針對單個詞語和整個句子的言語康復訓練功能,用戶只需輕敲相應的詞語、語句,系統便會生成相對應的語音,此時用戶只需模仿系統的語音進行發(fā)音練習,系統便會自動生成對發(fā)音結果準確度的詳細報告。本文同時對輔助溝通和康復訓練兩個功能進行了有機結合,康復訓練的成果會直接影響輔助溝通功能的使用,兩者相輔相成,形成激勵機制。在此基礎上,為了提高在使用輔助溝通系統的時候的輸入效率,結合基于圖標的輸入系統的特點和針對言語溝通障礙兒童自身語言能力構建不完全的特征,在傳統的基于N-gram的文本輸入預測算法的基礎上提出了將無語序的N-gram算法和基于語義的N-gram算法相結合的非句法性的混合算法,以提高實際輸入時的效率。此外,為了讓存在言語溝通障礙的兒童同樣具有使用言語溝通的能力,本文在主流的語音識別技術的基礎上,結合言語溝通障礙兒童自身的特點和言語訓練子系統,設計出面向發(fā)音障礙人群的特定人語音識別系統,以適應這些兒童的發(fā)音。最后,本文在上述基礎上設計并實現運行于Android平臺上的言語障礙兒童輔助溝通及康復訓練系統和起輔助性作用的網頁端系統。
[Abstract]:There are more children with speech communication disorders in our country. According to the survey, there are about 10 million children with speech communication disorders. However, in China, the treatment started later than that in foreign countries. And the current treatment for these children above special schools, hospitals, using special equipment for one-to-one treatment. Because the base number is too large, it is difficult to benefit all families by these means. A large number of children with speech communication difficulties can not carry out speech rehabilitation training and can not communicate with people normally. In recent years, voice-related technologies have blossomed in various fields, but in the fields of language communication for children with communication difficulties, rehabilitation training, based on commonly used mobile devices such as mobile phones, tablets to achieve assisted communication, In combination with the related achievements of speech recognition technology, the products are rare in China, and have not been paid enough attention to at present. This paper combines the present situation and development trend of the research on auxiliary communication and rehabilitation training for children with speech communication disabilities at home and abroad, as well as the application of speech related technology. The rehabilitation training system for children with speech communication disorder is designed and implemented on Android platform. In this paper, according to the characteristics of children with speech communication disability, we design an aided input and communication system based on icon. The user can complete the input of content by tapping the corresponding icon on the Android device. These symbols can be pronounced not only by themselves, but also automatically by entering a sentence. On this basis, this paper designed a speech rehabilitation training function for a single word and a whole sentence. Users only need to tap the corresponding words and sentences, and the system will produce corresponding speech. In this case, users only need to imitate the pronunciation of the system for pronunciation exercises, the system will automatically generate a detailed report on the accuracy of pronunciation results. At the same time, this paper organically combines the two functions of auxiliary communication and rehabilitation training. The results of rehabilitation training will directly affect the use of auxiliary communication function. The two functions complement each other and form an incentive mechanism. On this basis, in order to improve the input efficiency when using the auxiliary communication system, combining the characteristics of the icon based input system and the language ability of the children with speech communication disabilities, we construct incomplete features. Based on the traditional text input prediction algorithm based on N-gram, a non-syntactic hybrid algorithm combining N-gram algorithm without word order and N-gram algorithm based on semantics is proposed to improve the efficiency of actual input. In addition, in order to make children with speech communication difficulties have the ability to use speech communication, this paper combines the characteristics of children with speech communication disorders and the speech training subsystem based on the mainstream speech recognition technology. Design specific speech recognition systems for people with dysphonia to accommodate the children's pronunciation. Finally, on the basis of the above mentioned above, this paper designs and implements the auxiliary communication and rehabilitation training system for children with speech disorders running on the Android platform and the web-side system which plays an auxiliary role.
【學位授予單位】：浙江大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：R749.94;TN912.34

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本文編號：1877356