Dell products l.p. (20240203420). HYBRID LOCAL AND GLOBAL PROCESSING OF VOICE REQUESTS FROM USERS simplified abstract
Contents
- 1 HYBRID LOCAL AND GLOBAL PROCESSING OF VOICE REQUESTS FROM USERS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 HYBRID LOCAL AND GLOBAL PROCESSING OF VOICE REQUESTS FROM USERS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
HYBRID LOCAL AND GLOBAL PROCESSING OF VOICE REQUESTS FROM USERS
Organization Name
Inventor(s)
Robert C. Hernandez of Morrisville NC (US)
Uboho Victor of San Antonio TX (US)
HYBRID LOCAL AND GLOBAL PROCESSING OF VOICE REQUESTS FROM USERS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240203420 titled 'HYBRID LOCAL AND GLOBAL PROCESSING OF VOICE REQUESTS FROM USERS
Simplified Explanation
The patent application describes a system that allows for both local and global processing of voice requests from a user. When a user makes a voice request, the system uses a local intent engine to predict the intent. If the confidence in the local prediction is low, the request is sent to a global intent engine for further processing.
- A computing device receives audio data with a voice request from a user.
- The device uses a local intent engine to predict the intent of the request.
- If the confidence in the local prediction is low, the request is sent to a global intent engine.
- The device then determines the appropriate computing process based on the global intent prediction.
Key Features and Innovation
- Hybrid local and global processing of voice requests.
- Use of local intent engine for initial prediction.
- Transfer to global intent engine for further processing if confidence is low.
- Determination of computing process based on global intent prediction.
Potential Applications
This technology can be applied in various voice-controlled systems, virtual assistants, and smart devices where accurate interpretation of user requests is crucial.
Problems Solved
- Enhances accuracy in interpreting voice requests.
- Improves user experience by ensuring requests are processed effectively.
- Enables seamless integration of local and global processing for better results.
Benefits
- Enhanced accuracy in interpreting user voice requests.
- Improved user experience with more effective processing of requests.
- Seamless integration of local and global processing for optimal results.
Commercial Applications
Potential commercial applications include voice-controlled devices, virtual assistants, customer service chatbots, and any system that relies on accurate interpretation of user requests for operation.
Questions about the Technology
How does the system determine when to switch from local to global processing?
The system switches to global processing when the confidence in the local intent prediction falls below a predetermined threshold.
What are the advantages of using both local and global processing for voice requests?
Using both local and global processing allows for more accurate interpretation of user requests and ensures that the most appropriate computing process is determined for optimal results.
Original Abstract Submitted
systems and methods described herein may provide a system that enables hybrid local and global processing of voice requests from a user. a computing device may receive audio data containing a voice request from a user and may determine, using a local intent engine, a local intent prediction based on the voice request. the computing device may determine that the local intent prediction has a confidence measure that is less than a predetermined threshold and may, in response, transmit data containing the voice request to a global intent engine. the computing device may receive a global intent prediction from the global intent engine and may determine a corresponding computing process based on the global intent prediction.
