The communication system (1) manages the communications of a plurality of user groups (GF) and authorizes secure communications between members (USER) of the same group (GF). The system comprises a server (SRC) and a plurality of user devices (UD) connected to an Internet-type network (IP) allowing voice communications. Speaker recognition and access authorization means (RL) are included and comprise artificial intelligence means (AI). According to the invention, the system comprises voice signal analysis means producing a scalogram of a speaker's voice signal by means of a discrete wavelet transform followed by a continuous wavelet transform, the scalogram being provided as input to the artificial intelligence means for speaker recognition.

The communication system (1) manages the communications of a plurality of user groups (GF) and authorizes secure communications between members (USER) of the same group (GF). The system comprises a server (SRC) and a plurality of user devices (UD) connected to an Internet-type network (IP) allowing voice communications. Speaker recognition and access authorization means (RL) are included and comprise artificial intelligence means (AI). According to the invention, the system comprises voice signal analysis means producing a scalogram of a speaker's voice signal by means of a discrete wavelet transform followed by a continuous wavelet transform, the scalogram being provided as input to the artificial intelligence means for speaker recognition.

A content distribution facilitation system is described comprising configured servers and a network interface configured to interface with a plurality of terminals in a client server relationship and optionally with a cloud-based storage system. A request from a first source for content comprising content criteria is received, the content criteria comprising content subject matter. At least a portion of the content request content criteria is transmitted to a selected content contributor. If recorded content is received from the first content contributor, the first source is provided with access to the received recorded content. The recorded content may be transmitted via one or more networks to one or more destination devices. Optionally, a voice analysis and/or facial recognition engine are utilized to determine if the recorded content is from the first content contributor.

A content distribution facilitation system is described comprising configured servers and a network interface configured to interface with a plurality of terminals in a client server relationship and optionally with a cloud-based storage system. A request from a first source for content comprising content criteria is received, the content criteria comprising content subject matter. At least a portion of the content request content criteria is transmitted to a selected content contributor. If recorded content is received from the first content contributor, the first source is provided with access to the received recorded content. The recorded content may be transmitted via one or more networks to one or more destination devices. Optionally, a voice analysis and/or facial recognition engine are utilized to determine if the recorded content is from the first content contributor.

An apparatus includes a communication interface and a processor. The processor is configured to receive, via the communication interface, a plurality of speech samples {u.sub.m.sup.0}, m=1 . . . M, which were uttered by a subject while in a first state with respect to a disease, and using {u.sub.m.sup.0} and at least one reference discriminator, which is not specific to the subject, synthesize a subject-specific discriminator, which is specific to the subject and is configured to generate, in response to one or more test utterances uttered by the subject, an output indicating a likelihood that the subject is in a second state with respect to the disease. Other embodiments are also described.

An apparatus includes a communication interface and a processor. The processor is configured to receive, via the communication interface, a plurality of speech samples {u.sub.m.sup.0}, m=1 . . . M, which were uttered by a subject while in a first state with respect to a disease, and using {u.sub.m.sup.0} and at least one reference discriminator, which is not specific to the subject, synthesize a subject-specific discriminator, which is specific to the subject and is configured to generate, in response to one or more test utterances uttered by the subject, an output indicating a likelihood that the subject is in a second state with respect to the disease. Other embodiments are also described.

An electronic device includes a microphone obtaining an audio signal, a memory in which a speaker model is stored, and at least one processor. The at least one processor is configured to obtain a voice signal from the audio signal, to compare the voice signal with the speaker model to verify a user, and, if a verification result indicates that the user corresponds to a pre-enrolled speaker, to perform an operation corresponding to the obtained voice signal.

An electronic device includes a microphone obtaining an audio signal, a memory in which a speaker model is stored, and at least one processor. The at least one processor is configured to obtain a voice signal from the audio signal, to compare the voice signal with the speaker model to verify a user, and, if a verification result indicates that the user corresponds to a pre-enrolled speaker, to perform an operation corresponding to the obtained voice signal.

A method and system for secure speaker authentication between a caller device and a first device using an authentication server are provided. The system comprises extracting features into a feature matrix from an incoming audio call; generating a partial i-vector, wherein the partial i-vector includes a first low-order statistic; sending the partial i-vector to the authentication server; and receiving from the authentication server a match score generated based on a full i-vector and another i-vector being stored on the authentication server, wherein the full i-vector is generated from the partial i-vector.

A method and system for secure speaker authentication between a caller device and a first device using an authentication server are provided. The system comprises extracting features into a feature matrix from an incoming audio call; generating a partial i-vector, wherein the partial i-vector includes a first low-order statistic; sending the partial i-vector to the authentication server; and receiving from the authentication server a match score generated based on a full i-vector and another i-vector being stored on the authentication server, wherein the full i-vector is generated from the partial i-vector.