PREDICTING GLOTTAL INSUFFICIENCY USING FREQUENCY ANALYSIS

    公开(公告)号:WO2020110123A1

    公开(公告)日:2020-06-04

    申请号:PCT/IL2019/051308

    申请日:2019-11-28

    Abstract: A system comprising at least one hardware processor and a non-transitory computer- readable storage medium having stored thereon program instructions, the program instructions executable by the at least one hardware processor to: receive a voice recording comprising a phonation by a subject, analyze said voice recording to calculate a fundamental frequency contour curve of said phonation, measure at least one of (i) a time period from a start of said phonation until said contour curve reaches a settled level, (ii) a slope of said contour curve during said time period, and (iii) an area under said contour curve during said time period, and determine a glottal closure insufficiency in said subject based, at least in part, on said measuring.

    MACHINE-LEARNING-BASED SPEECH PRODUCTION CORRECTION

    公开(公告)号:WO2022168102A1

    公开(公告)日:2022-08-11

    申请号:PCT/IL2022/050158

    申请日:2022-02-08

    Abstract: A system and method of speech modification may include: receiving a recorded speech, comprising one or more phonemes uttered by a speaker; segmenting the recorded speech to one or more phoneme segments (PS), each representing an uttered phoneme; selecting a phoneme segment (PSk) of the one or more phoneme segments (PS); extracting a portion of the recorded speech, said portion corresponding to a first timeframe (T̃) that comprises the selected phoneme segment; receiving a representation (P͠ * ) of a phoneme of interest P*; and applying a machine learning (ML) model on (a) the extracted portion of the recorded speech and (b) on the representation (P͠ * ) of the phoneme of interest P*, to generate a modified version of the extracted portion of recorded speech, wherein the phoneme of interest (P*) substitutes the selected phoneme segment (PSk).

    METHOD AND SYSTEM OF AUTOMATIC ANALYSIS OF DOPPLER ECHOCARDIOGRAPHY IMAGES
    3.
    发明申请
    METHOD AND SYSTEM OF AUTOMATIC ANALYSIS OF DOPPLER ECHOCARDIOGRAPHY IMAGES 审中-公开
    多普勒超声心动图图像自动分析方法和系统

    公开(公告)号:WO2017154008A1

    公开(公告)日:2017-09-14

    申请号:PCT/IL2017/050308

    申请日:2017-03-09

    Abstract: A computerized method and system of automatically analyzing a Doppler echocardiography (DE) image, the method comprising: obtaining one or more trained weight vectors each corresponding to a polygon type with a fixed number of vertices; obtaining a plurality of candidate polygons belonging to at least one polygon type; extracting a plurality of feature functions from the DE image for each candidate polygon, including vertex related feature functions and edge related feature functions; calculating a score for each candidate polygon using the extracted feature functions and a trained weight vector corresponding to the polygon type with the same number of vertices as the candidate polygon; and determining a candidate polygon with a highest calculated score to be a predicted polygon for the DE image, whereby the predicted polygon represents a pattern enclosed in the DE image.

    Abstract translation: 一种自动分析多普勒超声心动图(DE)图像的计算机化方法和系统,所述方法包括:获得一个或多个训练权重矢量,每个训练权重矢量对应于具有固定数量的顶点的多边形类型; 获得属于至少一个多边形类型的多个候选多边形; 从每个候选多边形的DE图像提取多个特征函数,包括顶点相关特征函数和边缘相关特征函数; 使用提取的特征函数和与具有与候选多边形相同的顶点数量的多边形类型对应的训练权重矢量来计算每个候选多边形的分数; 并将具有最高计算得分的候选多边形确定为DE图像的预测多边形,由此预测多边形表示包含在DE图像中的图案。

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