Buder Eugene H, Chorna Lesya B, Oller D Kimbrough, Robinson Rebecca B
School of Audiology and Speech-Language Pathology, The University of Memphis, Memphis, Tennessee 38105, USA.
J Voice. 2008 Sep;22(5):553-64. doi: 10.1016/j.jvoice.2006.12.009. Epub 2007 May 23.
Infant phonation is highly variable in many respects, including the basic vibratory patterns by which the vocal tissues create acoustic signals. Previous studies have identified the regular occurrence of nonmodal phonation types in normal infant phonation. The glottis is like many oscillating systems that, because of nonlinear relationships among the elements, may vibrate in ways representing the deterministic patterns classified theoretically within the mathematical framework of nonlinear dynamics. The infant's preverbal vocal explorations present such a variety of phonations that it may be possible to find effectively all the classes of vibration predicted by nonlinear dynamic theory. The current report defines acoustic criteria for an important subset of such vibratory regimes, and demonstrates that analysts can be trained to reliably use these criteria for a classification that includes all instances of infant phonation in the recorded corpora. The method is thus internally comprehensive in the sense that all phonations are classified, but it is not exhaustive in the sense that all vocal qualities are thereby represented. Using the methods thus developed, this study also demonstrates that the distributions of these phonation types vary significantly across sessions of recording in the first year of life, suggesting developmental changes. The method of regime classification is thus capable of tracking changes that may be indicative of maturation of the mechanism, the learning of categories of phonatory control, and the possibly varying use of vocalizations across social contexts.
婴儿发声在许多方面具有高度变异性,包括发声组织产生声学信号的基本振动模式。先前的研究已经确定在正常婴儿发声中经常出现非模态发声类型。声门类似于许多振荡系统,由于各组成部分之间存在非线性关系,可能会以代表在非线性动力学数学框架内理论上分类的确定性模式的方式振动。婴儿的语言前发声探索呈现出如此多样的发声方式,以至于有可能有效地找到非线性动力学理论预测的所有振动类别。本报告定义了此类振动状态一个重要子集的声学标准,并证明可以训练分析人员可靠地使用这些标准进行分类,该分类涵盖记录语料库中婴儿发声的所有实例。因此,该方法在所有发声都被分类的意义上是内部全面的,但在所有嗓音质量都由此得到体现的意义上并非详尽无遗。使用这样开发的方法,本研究还表明,这些发声类型的分布在生命的第一年的不同录音时间段内有显著差异,表明存在发育变化。因此,状态分类方法能够追踪可能表明发声机制成熟、发声控制类别学习以及在不同社会情境中发声使用可能变化的变化。