BACKGROUND OF THE INVENTION

The present invention relates generally to the field of mobile devices, and more particularly to safeguarding private user data during audio communications.

In recent years, developments and the growth of Internet of Things (IoT) capable devices have created a wealth of opportunities to advance the capabilities to integrate systems. The internet of things (IoT) is the internetworking of physical devices (also referred to as “connected devices” and “smart devices”), vehicles, buildings, and other items, embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. The IoT allows objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy, and economic benefit in addition to reduced human intervention. Each thing is uniquely identifiable through its embedded computing system but is able to interoperate within the existing Internet infrastructure.

Natural language understanding (NLU) is a subset of natural language processing (NLP) that uses computer software to understand input made in the form of sentences in text or speech format. NLU understanding of natural human languages enables computers to understand commands without the formalized syntax of computer languages and for computers to communicate back to humans in their own languages. At the core of natural language processing (NLP) lies text classification. A Natural Language Classifier (NLC) allows users to classify text into custom categories, at scale. An NLC applies deep learning techniques to make predictions about the best predefined classes for short sentences or phrases.

SUMMARY

Aspects of the present invention disclose a method for determining whether to perform mute/unmute functions to secure voice communication on multiple devices to allow for safeguarding of sensitive information of a user. The method includes one or more processors identifying one or more audio communications from a first user to a second user, wherein the one or more audio communications is transmitted utilizing a first computing device. The method further includes one or more processors determining an objective of the first user based at least in part on the audio communication of the first user. The method further includes one or more processors determining a set of conditions corresponding to the one or more audio communications and the objective, wherein the set of conditions indicate a vulnerability of personal data of the first user. The method further includes one or more processors prohibiting the first computing device from transmitting audio data that includes the personal data of the first user.

