Google llc (20240161740). Multi-Assistant Warm Words simplified abstract
Contents
- 1 Multi-Assistant Warm Words
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Multi-Assistant Warm Words - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
Multi-Assistant Warm Words
Organization Name
Inventor(s)
Matthew Sharifi of Kilchberg (CH)
Victror Carbune of Zurich (CH)
Multi-Assistant Warm Words - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240161740 titled 'Multi-Assistant Warm Words
Simplified Explanation
The abstract describes a method for using warm words with multi-assistants on a device. Here is a simplified explanation of the abstract:
- Each digital assistant in a group receives a set of warm words specifying actions to perform.
- A warm word arbitration routine selects final warm words for detection.
- Audio data is received, a warm word is detected, and the associated digital assistant performs the specified action.
Potential Applications
This technology could be applied in smart home devices, virtual assistants, and other IoT devices to improve user interaction and efficiency.
Problems Solved
This method streamlines the process of interacting with multiple digital assistants on a single device, reducing user confusion and improving overall user experience.
Benefits
- Enhanced user experience - Efficient multi-assistant interaction - Improved device functionality
Potential Commercial Applications
"Enhancing User Experience with Multi-Assistant Warm Words Technology"
Possible Prior Art
There may be prior art related to voice recognition technology, multi-assistant devices, and natural language processing algorithms.
Unanswered Questions
How does this method handle conflicts between warm words from different digital assistants?
The abstract does not provide details on how conflicts between warm words are resolved when multiple digital assistants are active.
What is the accuracy rate of detecting warm words in various environmental conditions?
The abstract does not mention the accuracy rate of detecting warm words in different noise levels or backgrounds.
Original Abstract Submitted
a method using multi-assistant warm words includes, for each digital assistant in a group of digital assistants enabled on a multi-assistant device, receiving a respective active set of warm words that each specify a respective action to perform. based on the respective active set of warm words, the method also includes executing a warm word arbitration routine to enable a final set of warm words for detection, each warm word in the final set of warm words selected from the respective active set of warm words for at least one digital assistant. while the final set of warm words are enabled for detection, the method includes receiving audio data corresponding to an utterance, detecting a warm word from the final set of warm words, and instructing the digital assistant associated with the detected warm word to perform the respective action specified by the detected warm word.
