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A Statistical Classification Method for the Distribution of Articulation Movement Abnormalities in Dysarthria

A technique for dysarthria, statistical classification, applied in the field of information processing

Active Publication Date: 2021-06-11
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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  • A Statistical Classification Method for the Distribution of Articulation Movement Abnormalities in Dysarthria
  • A Statistical Classification Method for the Distribution of Articulation Movement Abnormalities in Dysarthria
  • A Statistical Classification Method for the Distribution of Articulation Movement Abnormalities in Dysarthria

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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 technical field of information processing, in particular to a statistical classification method for abnormal distribution of articulation dysphonia. Solve the problem of pronunciation movement statistics of articulatory organs, including the following steps, S100~draw the distribution map of the pronunciation movement intervals of the tip of the tongue, the middle of the tongue, and the root of the tongue in the front, back, left and right, and up and down directions; S300~fit the distribution of the pronunciation movement interval through the lognormal distribution; S400~fit through the normal distribution, and use the 2.58 standard deviation of the normal distribution as the threshold to calculate respectively The proportion of dysarthria patients and normal people with abnormal pronunciation data. The present invention starts from the front, back, left and right, and up and down directions of the tongue space movement, and studies the distribution of pronunciation movement intervals in the three directions of the speaker, and further counts dysarthria patients and normal people according to the proportion of abnormal pronunciation movement intervals.

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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Patent Type & Authority Patents(China)
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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