SOFTWARE FOR CHARACTERIZING LARYNGEAL DYNAMICS

用于表征喉部动力学的软件

• 批准号: 2391122
• 负责人: Joel M MacAuslan
• 金额: $ 34.76万
• 依托单位: SPEECH TECHNOLOGY/APPLIED RESEARCH CORP.
• 依托单位国家: 美国
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-04-01 至 1999-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2391122
• 关键词: biophysics; clinical research; computer assisted diagnosis; computer program /software; computer simulation; human subject; larynx; mathematical model; model design /development; speech disorder diagnosis; speech disorders; speech therapy; speech viewer; statistics /biometry; vocalization; voice

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.

AudioFile建议创建一个软件“工具”来表征方面 喉部的结构和性能的研究。 分析依赖于非线性动力系统理论，或 “混沌理论”。 它提供了参数（李雅普诺夫指数，度量 熵，吸引子尺寸），这不能从传统的 减少，但已被证明有价值， 将喉部描述为一个动力系统。 技术是非- 侵入性，软件将接受连续的语音，甚至一些 新生儿发出的不需要的叫声。 该工具将能够检测两种异常声门周期性 完全非周期性（混沌）。 既有生理上的， 数学上的理由来预测一些不同的病理学 工具可以区分的不同动态响应。 第一阶段将：验证该工具能够可靠地确定指数 以及现有数字数据库中的条目的吸引子维数 的发声;表明参数识别不同的模式， 稳定的振动;并确定参数变化的程度 已知的喉部疾病 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”。 它可以为临床判断提供客观的佐证。