公开(公告)号：US11875818B2

公开(公告)日：2024-01-16

申请号：US17297695

申请日：2019-11-28

Applicant: RAMBAM MED-TECH LTD. ,  BAR-ILAN UNIVERSITY

Inventor： Jacob Cohen ,  Joseph Keshet ,  Alma Cohen

IPC: G10L25/66 ,  A61B5/00 ,  G10L25/78 ,  G10L25/90

CPC classification number: G10L25/66 ,  A61B5/0022 ,  A61B5/4803 ,  G10L25/78 ,  G10L25/90 ,  G10L2025/906

Abstract: Systems and methods of predicting glottal insufficiency by at least one hardware processor including receiving a voice recording comprising a phonation by a subject, analysis of the voice recording to calculate a fundamental frequency contour curve of the phonation, and measurement of at least one of (i) a time period from a start of the phonation until the contour curve reaches a settled level, (ii) a slope of the contour curve during the time period, and (iii) an area under the contour curve during that time period. In certain embodiments, the processor subsequently, determines a glottal closure insufficiency in the subject based on these measurements.

公开(公告)号：US11315037B2

公开(公告)日：2022-04-26

申请号：US16353046

申请日：2019-03-14

Applicant: NEC Corporation Of America ,  Bar-Ilan University ,  NEC Corporation

Inventor： Jun Furukawa ,  Joseph Keshet ,  Kazuma Ohara ,  Toshinori Araki ,  Hikaru Tsuchida ,  Takuma Amada ,  Kazuya Kakizaki ,  Shir Aviv-Reuven

IPC: G06N20/00 ,  G06N5/04

Abstract: There is provided a system for computing a secure statistical classifier, comprising: at least one hardware processor executing a code for: accessing code instructions of an untrained statistical classifier, accessing a training dataset, accessing a plurality of cryptographic keys, creating a plurality of instances of the untrained statistical classifier, creating a plurality of trained sub-classifiers by training each of the plurality of instances of the untrained statistical classifier by iteratively adjusting adjustable classification parameters of the respective instance of the untrained statistical classifier according to a portion of the training data serving as input and a corresponding ground truth label, and at least one unique cryptographic key of the plurality of cryptographic keys, wherein the adjustable classification parameters of each trained sub-classifier have unique values computed according to corresponding at least one unique cryptographic key, and providing the statistical classifier, wherein the statistical classifier includes the plurality of trained sub-classifiers.