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 提议创建一个软件“工具”来表征各个方面 通过语音分析了解喉部的结构和性能。 该分析依赖于非线性动力系统理论，或者 “混沌理论”。 它提供参数（李雅普诺夫指数、度量 熵、吸引子维度），无法从传统方法推导出来 减少，但已被证明具有价值 将喉部描述为一个动力系统。 该技术非 侵入性的，软件会接受连续的语音，甚至一些 未经请求的发声，例如新生儿的发声。 该工具将能够检测两种异常的声门周期性 和完全的非周期性（混沌）。 既有生理性的，也有 数学上的原因预计会激发一些不同的病理现象 该工具可以区分不同的动态响应。 第一阶段将：验证该工具是否能够可靠地确定指数 以及现有数字数据库中条目的吸引子维度 发声；表明参数识别不同的模式 振动稳定；并确定参数变化的程度 已知喉部状况。 如果成功，该软件将提供一套新的临床 “测量”用于协助诊断喉部病变。 可为临床判断提供客观佐证。