维吾尔语词首音节元音声学分析

该文利用“维吾尔语语音声学参数数据库”,统计分析和归纳了维吾尔语词首音节元音的共振峰模式及其分布格局。声学元音图有多种画法,该文采用JOOS型声学元音图。这种元音图的特点是以F1为纵坐标,以F2为横坐标。这样绘制成的声学元音图与元音舌位图有很好的对应性。维语标准音词首音节中有[y, i, e, O, u, o, ;, A]等8个元音。舌位前后的分布特点是[u, o, A]为后元音,[y, i, e, O, ;]为前元音;开口度(舌位高低)分布特点是[y, i, u]为高元音,[e, O, o]为次高元音,[;]为次低元音, [A]为低元音.     

An Objective Deghosting Quality Metric for HDR Images

Reconstructing high dynamic range (HDR) images of a complex scene involving moving objects and dynamic backgrounds is prone to artifacts. A large number of methods have been proposed that attempt to alleviate these artifacts, known as HDR deghosting algorithms. Currently, the quality of these algorithms are judged by subjective evaluations, which are tedious to conduct and get quickly outdated as new algorithms are proposed on a rapid basis. In this paper, we propose an objective metric which aims to simplify this process. Our metric takes a stack of input exposures and the deghosting result and produces a set of artifact maps for different types of artifacts. These artifact maps can be combined to yield a single quality score. We performed a subjective experiment involving 52 subjects and 16 different scenes to validate the agreement of our quality scores with subjective judgements and observed a concordance of almost 80%. Our metric also enables a novel application that we call as hybrid deghosting, in which the output of different deghosting algorithms are combined to obtain a superior deghosting result.     

基于自顶向下算法的维吾尔语句法分析初探

该文通过研究国内外相关的句法分析算法与理论,再结合维吾尔语自身的特点对基于规则的维吾尔语句法分析方法进行讨论,由于维吾尔语作为一种自然语言,具有自然语言所共有的一些规则,发现国外经典的句法分析方法同样适合于维吾尔语的句法分析,本论文主要讨论了自项向下的的自动句法分析方法。     

基于上下文音节的维吾尔语语音合成系统研究

提出上下文音节为拼接单元,生成自然语音的一种维吾尔语语音合成方法。上下文音节有效地整合了邻近音节内外的音联现象,可以避免大部分协同发音影响。采用基于时域平滑技术对合成语音进行平滑处理,减少在拼接点处的语音失真和突变,从而提高了合成语音的自然度。     

基于HTK的维吾尔语连续语音声学建模

维吾尔语属于阿勒泰语系突厥语族,是黏着性语言。本文根据维吾尔语的特点,分析设计了维吾尔语语音识别系统的总体结构,讨论了维吾尔语最佳识别基元的选择方法,提出建立基于决策树聚类的上下文相关模型,并采用混合高斯分布(GMD)拟合观测概率分布,优化维吾尔语连续语音中HMM模型系统以提高识别性能。最后给出实验对比,得出结论,为今后维吾尔语连续语音识别研究提供依据。     

维吾尔语三音节词韵律特征声学分析

本文从文本分析模块入手,利用“维吾尔语语音声学参数库”,选择了以开音节和闭音节结尾的333个三音节词的韵律参数,包括元音时长、音高和音强进行了统计分析,归纳了其元音时长、音高和音强分布模式,探讨了维吾尔语三音节词的韵律节奏模式与三音节词重音之间的关系问题,其目的是为了提高语音合成的自然度即更好的为自然语言处理服务。本项研究对维吾尔语语言乃至整个阿尔泰语系语言的韵律研究具有较高的参考价值。     

维吾尔语双音节词元音格局研究

从高自然度语音合成与高精度语音识别技术研究的实际应用需求出发,采用实验语音学的方法研究了维吾尔语双音节词中的元音格局。为此,从"维吾尔语语音声学参数库"中选取了包括维吾尔语元音的双音节词,并分别对词首音节和词尾音节中的元音共振峰频率值进行统计分析,利用Joos方法比较详细地归纳出了维吾尔语词首和词尾音节元音格局以及它们之间的区别,绘制出了维吾尔语双音节词元音的共振峰模式。首次用实际实验数据验证了维吾尔语元音舌位特点符合传统"口耳之学"结论。研究结果对维吾尔语语言乃至整个阿尔泰语系语言的语音研究及应用开发具有较高的参考价值。     

Nanosized α-Fe2O3 and Li-Fe composite oxide electrodes for lithium-ion batteries

Nanosized α-Fe₂O₃ (ca. 50 nm) and Li-Fe composite oxides (ca. 29 nm) powders were synthesized via gel polymer route. The gels were obtained with thermal polymerization of acrylic acid solutions of iron and lithium nitrates. The calcination of these gels at temperatures from 300 °C to 500 °C results in α-Fe₂O₃ from Fe(NO₃)₃ precursor and Li-Fe composite oxides Li₂O-Fe₃O₄-LiFeO₂ from a mixed precursors of Fe(NO₃)₃ and LiNO₃. Thermal gravimetric analysis, X-ray diffraction and transmission electron microscopy were used to investigate the precursors and products. The electrochemical performance of the Fe-based oxides was also evaluated. After 200 cycles, their capacity can be as high as 1300 mAh/g for α-Fe₂O₃ and 1400 mAh/g for Li-Fe oxide while the initial capacity loss is as low as 21.8%. The Li-Fe oxide electrodes exhibit better capacity retention than the α-Fe₂O₃ electrodes. They are interesting negative electrodes for high energy density lithium-ion batteries.