SOFTWARE FOR CHARACTERIZING LARYNGEAL DYNAMICS

AudioFile建议创建一个软件“工具”来描述各个方面 通过对语音的分析了解喉部的结构和性能。 分析依赖于非线性动力系统的理论，或 “混沌理论”。它提供参数(Lyapunov指数、度量 熵、吸引子维度)，这不能从传统的 减少，但已被证明具有价值 将喉部描述为一个动力系统。这项技术是非 侵入性，该软件将接受连续的语音，甚至一些 不请自来的发声，如新生儿的发声。 该工具将能够检测到两个不寻常的声门周期 和完全的非周期性(混沌)。既有生理上的，也有 预期某些不同的病理刺激的数学原因 该工具可以区分不同的动态响应。 第一阶段：验证该工具是否可以可靠地确定指数 以及现有数字数据库中的条目的吸引子维度 发声；表明参数识别不同的发声模式 稳定的振动；并确定参数变化的程度 喉部状况已知。 如果成功，该软件将提供一套新的临床 用于辅助喉部病理诊断的“测量”。 从而为临床判断提供客观佐证。

AudioFile proposes to create a software "tool" to characterize aspects of the structure and performance of the larynx from analysis of speech. The analysis relies on the theory of nonlinear dynamical systems, or "chaos theory". It provides parameters (Lyapunov exponents, metric entropy, attractor dimensions) which cannot be derived from conventional reduction but which have already been shown to have value in characterizing the larynx as a dynamical system. The technique is non- invasive, and the software will accept continuous speech and even some unrequested vocalizations, as from neonates. The tool will be capable of detecting both unusual glottal periodicities and complete aperiodicity (chaos). There are both physiological and mathematical reasons to expect some distinct pathologies to excite distinct dynamical responses which the tool can distinguish. Phase I will: verify that the tool can reliably determine the exponents and the attractor dimensions for entries in an existing digital data base of vocalizations; show that the parameters identify distinct modes of stable vibration; and determine the extent to which the parameters vary with known laryngeal conditions. If successful, this software will provide a new set of clinical "measurements" for assisting in the diagnosis of laryngeal pathologies. It can then provide objective corroboration for clinical judgments.