18391132. LIVE PEER-TO-PEER VOICE COMMUNICATION SYSTEMS AND METHODS USING MACHINE INTELLIGENCE simplified abstract (Apple Inc.)
Contents
LIVE PEER-TO-PEER VOICE COMMUNICATION SYSTEMS AND METHODS USING MACHINE INTELLIGENCE
Organization Name
Inventor(s)
Robert D. Silfvast of Belmont CA (US)
Izzet B. Yildiz of Sunnyvale CA (US)
Daniel Javaheri Zadeh of San Jose CA (US)
Grant H. Mulliken of Los Gatos CA (US)
Srinath Nizampatnam of Milpitas CA (US)
Devin W. Chalmers of Oakland CA (US)
LIVE PEER-TO-PEER VOICE COMMUNICATION SYSTEMS AND METHODS USING MACHINE INTELLIGENCE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18391132 titled 'LIVE PEER-TO-PEER VOICE COMMUNICATION SYSTEMS AND METHODS USING MACHINE INTELLIGENCE
- Simplified Explanation:**
The patent application describes devices, systems, and methods that detect user attention to selectively transmit audio from an audio source to listening users' devices and adjust environmental noise cancellation/transparency in a multi-person setting.
- Key Features and Innovation:**
- Sensing user attention to deliver audio selectively
- Adjusting audio cancellation/transparency of environmental noise
- Multi-person setting compatibility
- Enhancing user listening experience
- Utilizing user attention detection technology
- Potential Applications:**
This technology can be applied in various settings such as meetings, conferences, classrooms, and public spaces where multiple users need to listen to specific audio while blocking out environmental noise.
- Problems Solved:**
This technology addresses the challenge of delivering audio selectively to multiple users in noisy environments, ensuring a better listening experience for each individual.
- Benefits:**
- Improved audio delivery in multi-person settings
- Enhanced user experience in noisy environments
- Better focus and attention during audio transmission
- Customized listening experience for each user
- Commercial Applications:**
The technology can be used in conference systems, educational settings, public transportation, and entertainment venues to provide a tailored audio experience to multiple users simultaneously.
- Questions about user attention technology:**
1. How does the system detect user attention accurately? 2. What are the potential privacy concerns related to user attention detection technology?
Original Abstract Submitted
Various implementations disclosed herein include devices, systems, and methods that sense, assess, measure, or otherwise determine user attention to selectively transmit or deliver audio from an audio source (e.g., a talking user's voice captured by their device, a TV, etc.) to one or more listening users' devices and/or adjusts audio cancellation/transparency of environmental noise on the one or more listening users' devices in a multi-person setting.
