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公开(公告)号：US20220028416A1
公开(公告)日：2022-01-27
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
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.
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公开(公告)号：US20240304200A1
公开(公告)日：2024-09-12
申请号：US18276171
申请日：2022-02-08
Applicant: RAMBAM MED-TECH LTD. , BAR-ILAN UNIVERSITY
Inventor： Joseph KESHET , Talia BEN-SIMON , Felix KREUK , Jacob T. COHEN , Faten AWWAD
IPC: G10L21/007 , G10L15/04
CPC classification number: G10L21/007 , G10L15/04
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 ({tilde over (T)}) that comprises the selected phoneme segment; receiving a representation () 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 () 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).
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公开(公告)号：US20220188706A1
公开(公告)日：2022-06-16
申请号：US17683395
申请日：2022-03-01
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
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.
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公开(公告)号：US20200293944A1
公开(公告)日：2020-09-17
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
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.
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