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”来表征各个方面 喉部的结构和性能从语音分析中。 该分析依赖于非线性动力学系统的理论，或 “混乱理论”。 它提供参数（Lyapunov指数，度量指标 熵，吸引子尺寸），该尺寸不能源自传统 减少但已经证明具有价值 将喉将其描述为动力学系统。 该技术是非 - 侵入性，该软件将接受连续的语音，甚至一些 来自新生儿的无需发声。 该工具将能够检测两个不寻常的声门周期 并完成多个（混乱）。 都有生理和 数学原因期望一些不同的病理激发 工具可以区分的独特动力响应。 第一阶段将：验证工具可以可靠地确定指数 以及现有数字数据库中条目的吸引子维度 发声；证明参数确定了不同的模式 稳定的振动；并确定参数变化的程度 有已知的喉部条件。 如果成功，该软件将提供一套新的临床 “测量”用于诊断喉病理。 然后，它可以为临床判断提供客观的佐证。