An Investigation of Locus Equations as a Source of Relational Invariance in Speech

作为语音关系不变性来源的轨迹方程的研究

• 批准号: 8919221
• 负责人: Harvey Sussman
• 金额: $ 6.25万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-02-01 至 1992-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8919221&HistoricalAwards=false
• 关键词: Investigation; Locus; Equations; Source; Relational

ABSTRACT The experimental and theoretical pursuit of invariance in speech has involved many levels of linguistic abstraction. The objective of the research is to investigate the "locus-equation" algorithm as a possible source of relational invariance for place of articulation in stops. Locus-equations- regression fits to a set of coordinates defined by the frequency of (i) the onset of CV transition, and (ii) the vowel target- were shown, in preliminary work, to be characterized by distinctive slopes differentiating the stop place dimension independently of the vowel. Continuation of this work cross-linguistically, and across a diverse subject population is planned. Corroboration of preliminary findings would strongly imply the availability of a higher order level of abstraction that could effectively code relational invariance for stop place categorization. Three- dimensional graphic projections of formant transition onset and offset points, in combination with statistical linear discriminant function analyses, will test the notion of "sufficient perceptual contrast" as an organizational framework for phonemic categorization. The significance of this research is to further our understanding of phonemic-level decoding of speech, and ultimately, to better conceptualize how the brain might "spectrotopically" represent phonemic equivalence classes.

摘要 对不变性的实验和理论追求 言语涉及语言抽象的许多层次。 的 本研究的目的是探讨“轨迹方程” 算法作为位置关系不变性的可能来源 在停止的关节。 轨迹方程回归拟合a 一组坐标定义的频率（一）的发病率 CV过渡，和（ii）元音目标-显示，在 初步工作，以独特的斜坡为特点 将停止位置尺寸独立于 元音 继续开展跨语言工作， 计划在不同的受试者人群中进行。 确证 初步调查结果强烈暗示， 更高层次的抽象，可以有效地编码 停车位分类的关系不变性。 三个-- 共振峰转换开始的三维图形投影， 偏移点，结合统计线性 判别函数分析，将测试的概念， 作为组织框架的“足够的知觉对比” 用于音素分类。 本研究的意义 是为了加深我们对语音解码的理解， 最终，为了更好地概念化大脑是如何 可能“spectropotically”表示音位等价类。