Apple Inc. (20240211200). LIVE PEER-TO-PEER VOICE COMMUNICATION SYSTEMS AND METHODS USING MACHINE INTELLIGENCE simplified abstract
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 20240211200 titled 'LIVE PEER-TO-PEER VOICE COMMUNICATION SYSTEMS AND METHODS USING MACHINE INTELLIGENCE
- Simplified Explanation:**
The patent application describes devices, systems, and methods that can 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 experience in group listening scenarios
- Utilizing user attention detection technology
- Potential Applications:**
This technology could be used in:
- Conference calls
- Public speaking events
- Group movie watching
- Classroom settings
- Tour guide systems
- Problems Solved:**
- Ensuring audio is delivered selectively based on user attention
- Improving listening experience in noisy environments
- Enhancing communication in group settings
- Providing personalized audio experiences
- Benefits:**
- Enhanced user experience
- Improved communication in group settings
- Personalized audio delivery
- Better focus and attention management
- Commercial Applications:**
- "User Attention Detection Technology for Enhanced Group Listening Experiences"
- This technology could be marketed to companies producing audio devices for group settings, event organizers, educational institutions, and entertainment venues.
- Questions about User Attention Detection Technology:**
1. How does this technology detect user attention accurately? 2. What are the potential privacy concerns associated with user attention detection in audio devices?
- Frequently Updated Research:**
Ongoing research in user attention detection technology focuses on improving accuracy and efficiency in detecting user focus and attention in various environments.
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.
