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首页> 外文学位 >Prosody and speaker state: Paralinguistics, pragmatics, and proficiency.
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Prosody and speaker state: Paralinguistics, pragmatics, and proficiency.

机译：韵律和说话者状态：副语言学，语用学和熟练程度。

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摘要

Prosody---suprasegmental characteristics of speech such as pitch, rhythm, and loudness---is a rich source of information in spoken language and can tell a listener much about the internal state of a speaker. This thesis explores the role of prosody in conveying three very different types of speaker state: paralinguistic state, in particular emotion; pragmatic state, in particular questioning; and the state of spoken language proficiency of non-native English speakers.;Paralinguistics. Intonational features describing pitch contour shape were found to discriminate emotion in terms of positive and negative affect. A procedure is described for clustering groups of listeners according to perceptual emotion ratings that foster further understanding of the relationship between acoustic-prosodic cues and emotion perception.;Pragmatics. Student questions in a corpus of one-on-one tutorial dialogs were found to be signaled primarily by phrase-final rising intonation, an important cue used in conjunction with lexico-pragmatic cues to differentiate the high rate of observed declarative questions from proper declaratives. The automatic classification of question form and function is explored.;Proficiency. Intonational features including syllable prominence, pitch accent, and boundary tones were found to correlate with language proficiency assessment scores at a strength equal to that of traditional fluency metrics. The combination of all prosodic features further increased correlation strength, indicating that suprasegmental information encodes different aspects of communicative competence.
机译：韵律-语音的节段特征，例如音调，节奏和响度--是口语中丰富的信息来源，可以使听众了解说话者的内部状态。本文探讨了韵律在传达三种不同类型的说话者状态中的作用：副语言状态，特别是情感状态；务实的状态，尤其是质疑；以及非英语母语者的口语水平。发现描述音高轮廓形状的国际特征可以根据正面和负面影响来区分情绪。描述了一种根据感知情感等级对听众群体进行聚类的过程，该过程有助于进一步理解声韵提示与情感感知之间的关系。发现一对一的教学对话语料库中的学生问题主要是由词组-最终上升语调发出的，这是与词汇语用提示结合使用的重要提示，可将观察到的说明性问题与正确的说明性问题区别开来。探索了问题形式和功能的自动分类。发现包括音节突出，音高重音和边界音调在内的国际特征与语言能力评估分数相关，其强度等于传统的流利度指标。所有韵律特征的组合进一步提高了相关强度，表明超分段信息编码了沟通能力的不同方面。

著录项

  • 作者

    Liscombe, Jackson J.;

  • 作者单位

    Columbia University.;

  • 授予单位 Columbia University.;
  • 学科 Artificial Intelligence.;Computer Science.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 218 p.
  • 总页数 218
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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