20240037673. VOICE ENABLED CONTENT TRACKER simplified abstract (INTUIT INC.)
Contents
VOICE ENABLED CONTENT TRACKER
Organization Name
Inventor(s)
Sangeetha Uthamalingam Santharam of San Diego CA (US)
Bridget Diane Kimball of San Diego CA (US)
VOICE ENABLED CONTENT TRACKER - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240037673 titled 'VOICE ENABLED CONTENT TRACKER
Simplified Explanation
The present disclosure describes techniques and systems for automatically detecting, tracking, and processing information content based on voice input from a user. A voice-enabled content tracking system receives natural language content corresponding to audio input from a user. The system evaluates the natural language content using machine learning models to determine if it includes a specific type of information. If the content includes the specific type of information, the system determines the temporal association of that information and transmits a message to the user indicating the temporal association.
- Techniques and systems for automatically detecting, tracking, and processing information content based on voice input from a user are provided.
- A voice-enabled content tracking system receives natural language content corresponding to audio input from a user.
- The system evaluates the natural language content using a first machine learning model to determine if it includes a specific type of information.
- If the content includes the specific type of information, the system evaluates the natural language content using a second machine learning model to determine the temporal association of that information.
- A message including an indication of the temporal association of the first type of information is transmitted to the user.
Potential applications of this technology:
- Voice-enabled content tracking systems can be used in various applications such as personal assistants, voice-controlled devices, and smart home systems.
- This technology can be applied in customer service and support systems to automatically track and process customer requests and provide relevant information.
- Content tracking systems can be used in educational settings to track and analyze student responses and provide personalized feedback.
Problems solved by this technology:
- This technology automates the process of detecting and tracking specific information content based on voice input, reducing the need for manual intervention.
- It enables real-time analysis and processing of voice input, providing timely and accurate information to users.
- The use of machine learning models improves the accuracy and efficiency of detecting and tracking information content.
Benefits of this technology:
- Users can easily track and process specific information content through voice input, enhancing user experience and convenience.
- The automation of content tracking reduces the workload and time required for manual analysis and processing.
- Real-time transmission of messages indicating the temporal association of information allows users to stay updated and organized.
Original Abstract Submitted
certain aspects of the present disclosure provide techniques and systems for automatically detecting, tracking, and processing certain information content, based on voice input from a user. a voice enabled content tracking system receives natural language content corresponding to audio input from a user. a determination is made as to whether the natural language content includes a first type of information, based on evaluating the natural language content with a first machine learning model. in response to determining the natural language content comprises the first type of information, a temporal association of the first type of information is determined, based on evaluating the natural language content with a second machine learning model, and a message including an indication of the temporal association of the first type of information is transmitted to the user.
