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Statistical classification method of dysarthria pronunciation movement abnormal distribution

A technology for dysarthria and abnormal movement, applied in the field of information processing

Active Publication Date: 2019-02-19
TAIYUAN UNIV OF TECH
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Problems solved by technology

[0003] In order to solve the problem of articulation organ pronunciation movement statistics, the present invention provides a statistical classification method for the distribution of abnormal movement intervals of dysarthria

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  • Statistical classification method of dysarthria pronunciation movement abnormal distribution
  • Statistical classification method of dysarthria pronunciation movement abnormal distribution
  • Statistical classification method of dysarthria pronunciation movement abnormal distribution

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Embodiment Construction

[0052] The present invention will be further described in detail in conjunction with the following specific embodiments and accompanying drawings. The process, conditions, experimental methods, etc. for implementing the present invention, except for the content specifically mentioned below, are common knowledge and common knowledge in this field, and the present invention has no special limitation content.

[0053]The data targeted by the present invention is the pronunciation action data recorded by the three-dimensional electromagnetic pronunciation instrument. The electromagnetic pronunciation action data can display the Euclidean distance between each sensor and the transmitter, and then can calculate the XYZ coordinates and two angles as well as measure, store and display the position of the sensor, where X represents the front and rear directions, Y represents the left and right directions, and Z represents up and down direction.

[0054] Here is a list of the steps for...

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Abstract

The invention belongs to the information processing technology field and especially relates to the statistical classification method of dysarthria pronunciation movement abnormal distribution. An articulator pronunciation movement statistics problem is solved. The method comprises the following steps of S100, drawing the distribution maps of a tongue tip, the center portion of a tongue and the root of the tongue in the pronunciation movement intervals of front and back, left and right, and up and down directions; S200, taking 25 mm as a threshold value and calculating the proportion of the pronunciation movement interval which is greater than the value; S300, fitting pronunciation movement interval distribution through lognormal distribution; and S400, fitting through normal distribution,using the 2.58 standard deviations of the normal distribution as the threshold value, and calculating the proportions of the abnormal pronunciation data of patients with dysarthria and normal people.In the invention, from the front and back, left and right, and up and down directions of tongue portion space movement, the pronunciation movement interval distribution of a speaker in three directions is researched, and then the patients with dysarthria and the normal people are counted according to the proportion of the abnormal pronunciation movement interval.

Description

technical field [0001] The invention belongs to the technical field of information processing, in particular to a statistical classification method for abnormal distribution of articulation dysphonia. Background technique [0002] With the development of signal processing technology, especially the interdisciplinary application of machine learning methods, scientific problems in the medical field can intersect with signal processing technology. Pathological phonetics is an in-depth and specific analysis of the acoustic and pronunciation characteristics of the speech corresponding to different diseases. It not only summarizes the laws theoretically, but also proposes different targeted strategies and measures in order to help patients do rehabilitation in practical applications. . The most widely used pathological voice databases are the Massachusetts Eye and Ear Hospital MEEI pathological voice database and the NKI-CCRT database of the University of Amsterdam. The TORGO da...

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Application Information

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IPC IPC(8): G16H50/20G16H50/30G06F17/18G06K9/62
CPCG06F17/18G16H50/20G16H50/30G06F18/24
Inventor 段淑斐张雪英闫密密
Owner TAIYUAN UNIV OF TECH
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