18055395. Multi-Assistant Warm Words simplified abstract (Google LLC)
Contents
- 1 Multi-Assistant Warm Words
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 18055395 titled 'Multi-Assistant Warm Words
Simplified Explanation
The abstract describes a method using warm words for multi-assistant devices, where each digital assistant in a group receives a set of warm words to perform specific actions. A warm word arbitration routine selects final warm words for detection, and when a warm word is detected from the final set, the associated digital assistant performs the specified action.
- Each digital assistant in a group receives a set of warm words for specific actions.
- A warm word arbitration routine selects final warm words for detection.
- When a warm word is detected, 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
1. Streamlining user interaction with multiple digital assistants. 2. Enhancing the performance and responsiveness of digital assistants.
Benefits
1. Improved user experience with multi-assistant devices. 2. Efficient and accurate execution of user commands. 3. Enhanced coordination among digital assistants.
Potential Commercial Applications
Optimizing user experience in smart home devices for increased market competitiveness.
Possible Prior Art
Prior art may include patents related to voice recognition technology, multi-assistant devices, and natural language processing algorithms.
Unanswered Questions
How does this technology handle conflicts between warm words for different digital assistants?
The method does not specify how conflicts between warm words for different digital assistants are resolved. It would be important to understand the prioritization or resolution mechanism in such cases.
What is the impact of background noise on the detection of warm words?
The abstract does not address the potential impact of background noise on the accurate detection of warm words. It would be crucial to know how the system filters out noise to ensure reliable performance.
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.
