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

【摘要】：我國存在言語溝通障礙的兒童數(shù)量較多,根據(jù)調(diào)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(nèi)針對這方面的研究、治療相較于國外起步較晚,且目前國內(nèi)對這些兒童的治療方式以上特殊學(xué)校、醫(yī)院,使用特殊設(shè)備進(jìn)行一對一治療為主。由于基數(shù)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(jìn)行言語康復(fù)的訓(xùn)練,無法正常地和人交流。近年來,語音相關(guān)技術(shù)在各個領(lǐng)域開花結(jié)果,但是在語言溝通障礙兒童的輔助溝通、康復(fù)訓(xùn)練領(lǐng)域,基于常用移動設(shè)備如手機(jī)、平板電腦實(shí)現(xiàn)輔助溝通,在其中結(jié)合語音識別技術(shù)的相關(guān)成果、產(chǎn)品在國內(nèi)并不多見,而且目前并沒有引起足夠的重視。本文結(jié)合國內(nèi)外針對言語溝通障礙兒童的輔助溝通、康復(fù)訓(xùn)練的研究現(xiàn)狀和發(fā)展趨勢,結(jié)合語音相關(guān)技術(shù)的應(yīng)用,對適用于存在言語溝通障礙的兒童言語溝通障礙康復(fù)訓(xùn)練系統(tǒng)在Android平臺上進(jìn)行了設(shè)計和實(shí)現(xiàn)。本文首先針對言語溝通障礙兒童的特點(diǎn),設(shè)計了基于圖標(biāo)的輔助輸入、溝通系統(tǒng),用戶只需在Android設(shè)備上通過輕敲相應(yīng)的圖標(biāo),就可以完成內(nèi)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(chǔ)上本文設(shè)計了針對單個詞語和整個句子的言語康復(fù)訓(xùn)練功能,用戶只需輕敲相應(yīng)的詞語、語句,系統(tǒng)便會生成相對應(yīng)的語音,此時用戶只需模仿系統(tǒng)的語音進(jìn)行發(fā)音練習(xí),系統(tǒng)便會自動生成對發(fā)音結(jié)果準(zhǔn)確度的詳細(xì)報告。本文同時對輔助溝通和康復(fù)訓(xùn)練兩個功能進(jìn)行了有機(jī)結(jié)合,康復(fù)訓(xùn)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(jī)制。在此基礎(chǔ)上,為了提高在使用輔助溝通系統(tǒng)的時候的輸入效率,結(jié)合基于圖標(biāo)的輸入系統(tǒng)的特點(diǎn)和針對言語溝通障礙兒童自身語言能力構(gòu)建不完全的特征,在傳統(tǒng)的基于N-gram的文本輸入預(yù)測算法的基礎(chǔ)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(jié)合的非句法性的混合算法,以提高實(shí)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(shù)的基礎(chǔ)上,結(jié)合言語溝通障礙兒童自身的特點(diǎn)和言語訓(xùn)練子系統(tǒng),設(shè)計出面向發(fā)音障礙人群的特定人語音識別系統(tǒng),以適應(yīng)這些兒童的發(fā)音。最后,本文在上述基礎(chǔ)上設(shè)計并實(shí)現(xiàn)運(yùn)行于Android平臺上的言語障礙兒童輔助溝通及康復(fù)訓(xùn)練系統(tǒng)和起輔助性作用的網(wǎng)頁端系統(tǒng)。
[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(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：R749.94;TN912.34

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