Intel Corporation

Sefi Kraemer

Ofer Gueta

Technologies for privately processing voice data include a compute device configured to continually or periodically capture voice data of a user by the compute device. The captured voice data is processed to remove or reduce the user's privacy-sensitive information. For example, the compute device fragments the captured voice data to generate a set of voice data fragments and further scrambles the voice data fragments to generate scrambled voice data fragments having a sequential order different from the plurality of voice data fragments. To scramble the voice data fragments, the compute device may reorder the voice data fragments such that each fragment is repositioned from its corresponding original sequential position in the voice data by a particular number of words, syllables, or phrases.

Technologies for privately processing voice data using a repositioned reordered fragmentation of the voice data

A mechanism is described for facilitating dynamic and intelligent conversion of text into real user speech according to one embodiment. A method of embodiments, as described herein, includes receiving a textual message from a first user, and accessing a voice profile associated with the first user, where the voice profile includes a real voice of the first user and at least one of emotional patterns relating to the first user, context distinctions relating to the first user, and speech characteristics relating to the first user, where accessing further includes extracting the real voice and at least one of an emotional pattern, a context distinction, and a speech characteristic based on subject matter of the textual message. The method may further include converting the textual message into a real speech of the first user based on the voice profile including the real voice and at least one of the emotional pattern, the context distinction, and the speech characteristic.

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Ein Carmel, Israel

Sefi Kraemer