Abstract: A system and method for screening and monitoring progression of subjects' health conditions and wellbeing, by the analysis of their voice signal. According to one embodiment, a system is provided that records voice samples of subjects and evaluates, in real time, the severity of their health condition based on vitality biomarkers. The vitality biomarkers are the construct of machine learning and deep learning models trained in an offline procedure. The offline training procedure is optimized to associate between (a) acoustic features and/or image representations of training cohort subjects' pre-recorded voices; and (b) their vitality score, extracted from their medical records. In the training procedure, the vitality scores of the training cohort subjects is heuristically defined as a function of the speaker age at the time of recording and the duration elapsed between the time of recording and available clinical events, with emphasis on the time of death when available.

Abstract: The present invention extends to methods, systems, for diagnosing coronary artery disease (CAD) in patients by using their voice signal comprising receiving voice signal data indicative of speech from the patient.

Abstract: Systems and methods for categorizing a physiological state of a subject including acquiring physiological state data of each of predefined group of individuals; and recording audio features of said individuals in a sequence of (I) at least one first intensity stimuli, (II) at least one second intensity stimuli, and (III) at least one third intensity stimuli, and associating said audio features to said physiological state data of said group of individuals in a predetermined manner.

Abstract: The present invention extends to methods, systems, for diagnosing coronary artery disease (CAD) in patients by using their voice signal comprising receiving voice signal data indicative of speech from the patient.

Abstract: The present invention extends to methods, systems, and devices for creating an electronic database of physiological and psychological states of users and/or groups of users based on acquiring their voice intonation analysis score (VIAS), the method comprises the steps of: applying at least one or more treatment procedures to a user; receiving and analyzing voice input data of the user, based on calculating of average and maximum intensity functions across a plurality of frequencies, said voice input data indicative of speech of the user correlating to said at least one or more treatment procedures; generating and associating a voice intonation analysis score (VIAS) correlating to the physiological and psychological states of said user with said at least one or more treatment procedures that invoked said voice input data; presenting voice intonation analysis score (VIAS) correlating to the physiological and psychological states of said user with said at least one or more treatment procedures that invoked said

Abstract: A method for diagnosing an impending multisystem failure in a patient, comprising steps of obtaining data of recorded speech of the patient, calculating an intensity function of the data across a plurality of frequencies, and determining the number of vibrations in the range of an octave in the recorded speech. A number of vibrations larger than four are indicative of an impending multisystem failure in the patient.

Abstract: A method for determining emotional status of a group of N people comprising steps of: receiving an audio data of at least one person from the group of N people by a computer readable medium (CRM); determining emotional status of that person according to the received audio data using the CRM; repeating the steps of receiving and determining for a sub-group of M people selected from the group N people; M is an integer between 1 and N; the method additionally comprising step of determining emotional status of the group by applying a statistical function on plurality of the emotional status collected in the steps mentioned above.

Abstract: A method and system for generating one or more desired content and/or predictive task suggestions to a user based on voice tone analysis of the user, the method comprising: continuously receiving, in real-time, by a computing system comprising one or more computing devices, a voice input data indicative of speech from the user; analyzing, by the computing system, said voice input data, based on calculating of an average and maximum intensity functions across a plurality of frequencies; determining, by the computing system, from the voice input data, based at least in part upon a change in intensity between at least two frequencies found in the calculated maximum intensity function, predictive intention of the user with respect to the desired content and/or tasks associated with physiological and psychological states of the user, by an executable voice signal analysis module and a runtime verification comprising a model configured to at least one domain-specific content and/or task associated with physiologica

Abstract: The present invention provides a system and method for configuring collective emotional architecture of an individual. The system comprising an input module, adapted to receive voice input and orientation reference selected from a group consisting of: date, time, location, and any combination thereof; a personal collective emotionbase, the emotionbase comprising benchmark tones and benchmark emotional attitudes (BEA) while each of the benchmark tones corresponds to a specific BEA and at least one processor in communication with a computer readable medium (CRM). The processor executes a set of operations received from the CRM.

Abstract: The present invention provides system and method for configuring social networking and matching communication platform by implementing analysis of voice intonations of a first user. The system comprising an input module adapted to receive voice input and orientation reference, a personal collective emotionbase comprising benchmark tones and benchmark emotional attitudes (BEA) whilst each of the benchmark tones corresponds to a specific BEA, at least one processor in communication with a computer readable medium (CRM). The processor executes a set of operations received from CRM. The set of operations comprises a step of evaluating, determining and presenting a matching rating of said user and matching the rating to another user to matching.

Abstract: A system and methods for improving emotional well-being linked to physiological change in the human voice box by stimulating vagus nerve connected to motor and sensory functions in the voice box.

Abstract: It is one object of the present invention to disclose a method for filtering targeted data comprising steps of: a. providing a plurality of M devices Di; each of the Di is adapted to measure a physiological parameter; b. providing a data base of plurality of classified data; the classification is according to the physiological parameters; c. measuring a plurality of N physiological parameters of a mammalian subject using the devices; d. storing results of the measurement in a computer readable medium having instruction thereon; wherein the method, additionally comprising step of e. selecting via the instructions, at least some of the classified data according to the result of measurement of physiological parameters.

Abstract: The present invention provides a system and method for configuring collective emotional architecture of an individual. The system comprising an input module, adapted to receive voice input and orientation reference selected from a group consisting of: date, time, location, and any combination thereof; a personal collective emotionbase, the emotionbase comprising benchmark tones and benchmark emotional attitudes (BEA) whilst each of the benchmark tones corresponds to a specific BEA and at least one processor in communication with a computer readable medium (CRM). The processor executes a set of operations received from the CRM.

Abstract: A method for determining emotional status of a group of N people comprising steps of: receiving an audio data of at least one person from the group of N people by a computer readable medium (CRM); determining emotional status of that person according to the received audio data using the CRM; repeating the steps of receiving and determining for a sub-group of M people selected from the group N people; M is an integer between 1 and N; the method additionally comprising step of determining emotional status of the group by applying a statistical function on plurality of the emotional status collected in the steps mentioned above.

Abstract: A method for diagnosing an impending multisystem failure in a patient, comprising steps of obtaining data of recorded speech of the patient, calculating an intensity function of the data across a plurality of frequencies, and determining the number of vibrations in the range of an octave in the recorded speech. A number of vibrations larger than four are indicative of an impending multisystem failure in the patient.

Abstract: It is one object of the present invention to disclose a method for filtering targeted data comprising steps of: a. providing a plurality of M devices Di; each of the Di is adapted to measure a physiological parameter; b. providing a data base of plurality of classified data; the classification is according to the physiological parameters; c. measuring a plurality of N physiological parameters of a mammalian subject using the devices; d. storing results of the measurement in a computer readable medium having instruction thereon; wherein the method, additionally comprising step of e. selecting via the instructions, at least some of the classified data according to the result of measurement of physiological parameters.

Abstract: According to one embodiment of the present invention a computerized voice-analysis device for determining an S, H, G profile is provided (as described herein, such an S, H, G profile relates to the strengths (e.g., relative strengths) of three human instinctive drives). Of note, the present invention may be used for one or more of the following: analyzing a previously recorded voice sample; real-time analysis of voice as it is being spoken; combination voice analysis—that is, a combination of: (a) previously recorded and/or real-time voice; and (b) answers to a questionnaire.

Abstract: According to one embodiment of the present invention a computerized voice-analysis device for determining an S, H, G profile is provided (as described herein, such an S, H, G profile relates to the strengths (e.g., relative strengths) of three human instinctive drives). Of note, the present invention may be used for one or more of the following: analyzing a previously recorded voice sample; real-time analysis of voice as it is being spoken; combination voice analysis—that is, a combination of: (a) previously recorded and/or real-time voice; and (b) answers to a questionnaire.

Abstract: According to one embodiment of the present invention a computerized voice-analysis device for determining an S,H,G profile is provided (as described herein, such an S,H,G profile relates to the strengths (e.g., relative strengths) of three human instinctive drives). Of note, the present invention may be used for one or more of the following: analyzing a previously recorded voice sample; real-time analysis of voice as it is being spoken; combination voice analysis—that is, a combination of: (a) previously recorded and/or real-time voice; and (b) answers to a questionnaire.

Abstract: The present invention discloses means and method for indicating emotional attitudes of a speaker, either human or animal, according to voice intonation. The invention also discloses a method for advertising, marketing, educating, or lie detecting by indicating emotional attitudes of a speaker and a method of providing remote service by a group comprising at least one observer to at least one speaker. The invention also discloses a system for indicating emotional attitudes of a speaker comprising a glossary of intonations relating intonations to emotions attitudes.