AI-Based Audio Digest System and Related Methods

Smart overview of the Invention

The system processes diverse data from multiple sources using advanced algorithms to generate engaging audio outputs. It collects data from emails, project management tools, messaging applications, social media, and meeting transcripts. AI algorithms analyze this data to understand context, extract key information, and tailor content to user preferences. Text-to-speech technology then converts this processed data into audio clips that are both engaging and comprehensible for the user.

User Context and Preferences

Audio content is customized according to the user's specific context and preferences. AI algorithms analyze patterns in user interactions and schedules to determine the relevance of content. The system prioritizes content based on user engagement with certain topics or projects, ensuring that audio digests are timely and pertinent. This tailored approach aims to streamline the user's workflow and enhance productivity by delivering relevant content efficiently.

Sequence Organization

AI algorithms organize multiple audio clips into a sequence that aligns with user preferences. By analyzing user behavior, interaction history, and contextual information such as time of day, the system creates an intuitive sequence. This approach ensures that important updates are prioritized and presented when they are most likely to be useful, enhancing the overall listening experience and potentially improving productivity.

User Interaction and Privacy

The system allows user interaction with audio content through voice or touch controls. It offers user-defined privacy settings and authenticates users via voice recognition. Automatic task updates are enabled based on insights from audio digests, while important updates are highlighted using sentiment analysis. The system also supports language translation and interaction with projected visual elements through an AR-based interface.

System Components

The system comprises several units: data processing, content creation, sequencing, user interaction, content modification, task update, security, recommendation, connectivity, sentiment analysis, language support, and AR interface units. Each unit plays a role in processing data, creating personalized content, organizing sequences, enabling interactions, maintaining security, providing recommendations, ensuring connectivity, analyzing sentiment, supporting languages, and integrating AR features.