International Business Machines Corporation

Xu Wang

Paul R Bastide

Rohit Ranchal

Aris Gkoulalas-Divanis

One embodiment of the invention provides a method for speaker identity and content de-identification under privacy guarantees. The method comprises receiving input indicative of privacy protection levels to enforce, extracting features from a speech recorded in a voice recording, recognizing and extracting textual content from the speech, parsing the textual content to recognize privacy-sensitive personal information about an individual, generating de-identified textual content by anonymizing the personal information to an extent that satisfies the privacy protection levels and conceals the individual's identity, and mapping the de-identified textual content to a speaker who delivered the speech. The method further comprises generating a synthetic speaker identity based on other features that are dissimilar from the features to an extent that satisfies the privacy protection levels, and synthesizing a new speech waveform based on the synthetic speaker identity to deliver the de-identified textual content. The new speech waveform conceals the speaker's identity.

Speaker identity and content de-identification

One embodiment of the invention provides a method for utility-preserving text de-identification. The method comprises generating corresponding processed text for each text document by applying at least one natural language processor (NLP) annotator to the text document to recognize and tag privacy-sensitive personal information corresponding to an individual, and replacing some words in the text document with some replacement values. The method further comprises determining infrequent terms occurring across all processed texts, filtering out the infrequent terms from the processed texts, and selectively reinstating to the processed texts at least one of the infrequent terms that is innocuous. The method further comprises generating a corresponding de-identified text document for each processed text by anonymizing privacy-sensitive personal information corresponding to an individual in the processed text to an extent that preserves data utility of the processed text and conceals the individual's personal identity.

Utility-preserving text de-identification with privacy guarantees

An embodiment of the invention may include a method, computer program product and computer system for visual trigger notification. The method, computer system, and computer program product may include a computing device which may receive a user selection of a display portion of an application on a first display unit and user input defining a visual trigger policy for the selected display portion of the application. The visual trigger policy may define a visual trigger and a user notification in response to detecting the visual trigger. The computing device may capture image data of the selected display portion of the application on the first display unit and analyze the captured image data to detect the visual trigger, The computing device may, in response to detecting the visual trigger, generate the user notification defined by the visual trigger policy.

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Westford, MA, United States of America

Xu Wang