Speech Command Handoff Across Multi-Assistant Voice Systems
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Solution Overview
Problem
Existing speech-processing systems struggle with efficiently handling commands intended for one system but processed by another, leading to potential latency and mismatched personalities or responses, as well as the need for users to remember specific wakewords for different systems.
Innovation Solution
A system that seamlessly transitions user commands between multiple speech-processing systems by identifying the most suitable system for processing, maintaining a consistent personality and response style, and providing transparent handoff mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single speech-processing system processes all commands, then system simplicity is maintained, but user interaction efficiency and response speed deteriorate when multiple specialized systems are needed
Solution Approach 1:
The patent introduces a host device as an intermediary between the user and multiple speech-processing systems. The host device receives commands, determines which speech-processing system should handle them, and facilitates seamless transitions between systems. This mediator approach allows multiple specialized systems to operate independently while maintaining user-friendly interaction through a single interface.
Solution Approach 2:
The host device serves multiple functions: it acts as a command interface, a system selector, a coordinator, and a user experience manager. By consolidating these diverse functions into a single universal device, the patent simplifies the overall architecture while enabling efficient distribution of processing tasks across multiple specialized speech-processing systems.
2Reliability
If commands are routed to different speech-processing systems, then specialized processing capability is improved, but latency and response time increase due to system transitions
Solution Approach 1:
The host device performs preliminary actions by proactively determining the appropriate speech-processing system before the user completes their command. It predicts which system should handle the command based on context, maintains ready states of selected systems, and pre-establishes routing paths. This anticipatory approach minimizes transition latency when commands need to be routed to different systems.
Solution Approach 2:
The system implements feedback mechanisms where the host device continuously monitors command characteristics, system availability, and processing status. Based on this real-time feedback, it dynamically adjusts routing decisions to optimize both accuracy and speed, ensuring commands are routed to the most suitable system while minimizing transition delays.
3Adaptability or versatility
If multiple speech-processing systems with different personalities are used, then service versatility is improved, but user confusion and operational complexity increase
Solution Approach 1:
The host device serves as an intermediary that manages the complexity of multiple personalities. It receives commands in a unified manner, determines which personality should respond, and ensures consistent user experience. The user interacts with a single interface without needing to understand or specify which system personality is active, as the host device handles this selection transparently.
Solution Approach 2:
The system performs self-service by automatically determining which speech-processing system should handle each command based on its characteristics. The host device independently makes routing decisions without requiring user input about system selection, maintaining simplicity while providing versatile personalized service.
4Measurement precision
If users need to remember specific wakewords for different systems, then system identification accuracy is improved, but ease of use and memory burden worsen
Solution Approach 1:
The host device acts as an intermediary that handles system identification. Instead of requiring users to remember which wakeword corresponds to which system, the host device receives the wakeword, determines which speech-processing system should respond, and facilitates the connection. This eliminates the memory burden on users while maintaining accurate system identification.
Solution Approach 2:
The system performs self-service by automatically associating wakewords with the appropriate speech-processing systems. The host device maintains this mapping internally and uses it to route commands automatically, freeing users from the need to remember these associations while ensuring precise system identification and routing.
Data Source
AI summary
A system may include first and second speech-processing systems. The first speech-processing system may process received audio data and determine that a command represented therein is associated with a second speech-processing system. The first speech-processing system may send command data to the second speech-processing system and receive response data in return. The first speech-processing system may then process the response data to determine second response data that includes an indication of the second speech-processing system and cause output of audio corresponding to the second response data.