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Upper airway diseases including sinonasal disorders may be caused by exposure to fine particulate matter (≤2.5 μm; PM2.5), as proven by epidemiological studies. PM2.5 is a complex entity whose chemical constituents and physicochemical properties are not confined to a single, independent “particle” but which in this study means a distinctive environmental “toxin.” The mechanism whereby PM2.5 induces...
This paper studies the influence factor on HMM-based Tibetan Lhasa speech synthesis. In order to find the key factor which makes the most contribution to improve the synthesized Tibetan Lhasa speech, we synthesize Tibetan Lhasa speech by different context labeling and different number of training sentences with different speech synthesis unit, respectively. We build two Tibetan Lhasa speech corpora...
Mandarin and Tibetan Lhasa dialect are chosen to be the research objects. Phones sets and corresponding Latin Transformation scheme of Mandarin and Tibetan Lhasa dialect are established respectively. KL distance between two GMMs are studied. GMM-HMM models for phones of two languages are trained on the basis of corpus and pronunciation dictionaries. Phones of Mandarin and Tibetan Lhasa dialect are...
Today is an era of knowledge economy and information dominated. Automatic summarization is an important research in the field of natural language processing, its purpose to explore human obtain valuable information from natural language texts. As the Tibetan information processing technology is backward, and the achievements of automatic summarization have not been publicly reported in Tibetan. This...
In order to solve the two key problems of the short text classification, very sparse features and strong context dependency, this paper proposed clustering technology based on Co-Occurrence Word Model for Tibetan microblog. The Tibetan news corpus (standard long text) as the experimental training corpus, using LDA model to construct the co-occurrence word network which related to one theme. According...
Tibetan text classification is one of the most important research topics in Tibetan information processing. In the existing Tibetan text classification method, the representation of documents is based on traditional vector space model which has the high dimension data and lack semantic information. In this paper, a Tibetan text classification based on distributed representations of words method is...
Feature selection is a strategy that aims at making text classifiers more efficient and accurate. In this paper, we proposed a novel feature selection method based on Tibetan grammar for Tibetan classification. Tibetan language express grammatical meaning through the function words and word order, and the function word has large proportions. By analyzing the Tibetan grammar and distribution of part...
A pronunciation rhythm perception study of Chinese is an important part of language study. Analyzing the available research achievement on the research method and research content from the Perspective of theoretical linguistics, acoustic phonetics, and psycholinguistics, this paper finds that the existing research is mainly about speech prosodic hierarchy, prosodic features, speech rhythm perception...
Language and pronunciation acquisition for infants and children is a gradual process which is influenced by numerous factors, such as physiological, psychological, and environmental ones. Among all these factors, the physiological factor impose the most direct impact. The maturation process of the infant's vocal organs affected their language acquisition order, with different vocal organs generating...
Short text is the most commonly used form of expression in the network. As short texts like microblog do not provide sufficient word occurrences, sentiment classification methods that use traditional approaches have limitations. In this paper, we propose a short text sentiment classification model called FECEM base on short text entropy optimization method. This method first selects sentiment features...
The complexity of emotion and its multi levels and multi modality of research, will inevitably lead to the multi orientation of study on it. This paper draw generalizations on the emotion physiological research based on EEG, ECG, GSR, RSP, EMG signals. The results show that: there is obvious mapping relationship between physiological signals and emotion and the physiological signals can more truly...
Pitches of infants demonstrate different changing characteristics under the environment of various languages. Focusing on pitch changes of infants growing up in the Mandarin Chinese and Amdo Tibetan environment, this paper elaborates based on analysis that these two groups of infants share some similar changing patterns, such as pitch rising after a long period of the level tone. However, there still...
The paper select short Song-poems as typescripts, by the method of experimental phonetics, collect voice signal and respiration signal, explore its breathing rhythm characteristics. We have studied that respiration reset levels lies mainly in the amplitude of the breathing reset, respiration reset time cannot distinguish breathing levels effectively. Inspiratory amplitude and expiratory amplitude...
Tibetan person name recognition is one of the most difficult tasks in the area of Tibetan information processing, and the effect of recognition impacts directly on the precision of Tibetan word segmentation and the performance of relative application systems, which include Tibetan-Chinese machine translation, Tibetan information search, text categorization, etc. Based on the analysis of wording rules...
This article acquisition the eye movement signal from the liberal arts students and college students of science and engineering, when they reading different style Chinese poetries which are writen in preqin, WeiJin, Tang, Song, the period of the republic and modern times. Through statistics and analysis, we can draw the following conclusion.1) The factors of portry, like the form of language, the...
Unlike Tibetan, Chinese is written without spaces between successive characters and words. One experiment was carried out to test how segmentations influence sentences reading in four conditions: sentences without segmentation, characters segmentation, words segmentation and phrases segmentation. The results indicate that characters segmentation can cause interference to Chinese college students while...
In accordance with the actual development for Tibetan speech synthesis, the paper has taken news text as training corpora, analyzed the speech and prosodic features of Tibetan Lhasa dialect and confirmed the respiratory signal parameters with prosodic features. It has confirmed 6 classes of 39 dimensions context feature parameters in terms of previous prosodic structure analysis results. It uses RBF...
The difference between aspirated and unaspirated consonants in Mongolian is usually interpreted as being strong or weak. It is generally believed that the airflow of unaspirated [p] [t] [k] is stronger than that of aspirated [ph] [th] [kh]. With the help of experimental phonetics methods, the article has got such acoustic parameters as over-glottal pressure and airflow amount of Mongolian stops and...
Unlike English and other western languages, there are no delimiters to mark word boundaries in both Chinese and Tibetan. Therefore, word segmentation is the first step for Chinese and Tibetan natural language processing such as machine translation and information retrieval. However, Chinese word segmentation has been studied for many years and the technology is relatively mature. In contrast, Tibetan...
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