Multi-tiered Voice Command Processing for Low Latency Safety
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Voice-activated audio processing systems face challenges in prioritizing and timely detection of commands, especially for safety-critical and complex robot functions, due to reliance on network connectivity and varying processing times for different command types.
Innovation Solution
Implementing a multi-tiered audio processing system that uses local hardware and speech models for base commands (e.g., safety features) and remote systems for core and application-specific commands, allowing for prioritization and efficient detection of voice commands with low latency for critical actions while enabling fine-tuning and extensibility through remote server systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system uses a single unified command processing approach relying on network services, then it can detect complex robot functions and application-specific commands, but it cannot guarantee timely detection of safety-critical commands and requires network connectivity
Solution Approach 1:
The patent segments the command processing system into two distinct tiers: a local processing tier for safety-critical base commands and a remote processing tier for complex core commands. This segmentation allows safety commands to be processed locally with guaranteed low latency and high reliability, while complex commands utilize remote resources when appropriate.
Solution Approach 2:
The patent introduces a command routing intermediary that directs different types of commands to appropriate processing tiers. This intermediary layer manages the division of labor between local and remote systems, ensuring that safety-critical commands are always handled locally while allowing complex commands to leverage remote capabilities.
2Adaptability or versatility
If the system processes all commands through remote server systems, then it enables fine-tuning and extensibility, but it increases latency and reduces availability when network connectivity is lost
Solution Approach 1:
The patent implements local quality by equipping the robot with a dedicated local speech recognition system optimized for base commands. This local processing capability ensures that safety-critical commands are recognized immediately without network dependency, while the system can still leverage remote servers for more complex recognition tasks when appropriate.
Solution Approach 2:
The patent performs preliminary action by pre-configuring the local speech recognition system with essential base command models before operation. This allows the system to immediately process safety-critical commands without needing to establish network connectivity or consult remote servers, ensuring rapid response times.
3Reliability
If the system prioritizes safety commands over application commands, then it ensures timely safety response, but it may delay processing of application-specific commands
Solution Approach 1:
The patent segments command processing into priority-based tiers where base safety commands are handled by a dedicated local system with guaranteed response times, while application commands are processed separately. This segmentation ensures safety commands receive immediate attention without blocking application command processing channels.
Solution Approach 2:
The patent maintains continuity of useful action by allowing both local and remote processing to operate concurrently and independently. While local processing ensures continuous safety monitoring, remote processing continues to handle application commands without interruption, maintaining overall system productivity.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs stored on computer storage devices, for multi-tiered command processing are disclosed. One of the methods includes operating an audio processing system to detect voice commands in a set of first commands controlling behavior of the robot and in a set of second commands controlling behavior of the robot, wherein the system detects commands in the set of first commands using a local recognition model that does not require communication over a network, and detects commands in the set of second commands with a server over a network; executing one or more applications to respond to commands in a set of application commands that include commands different from the first commands and second commands; and detecting and carrying out commands, according to a predetermined hierarchy that prioritizes detection of the first commands first, the second commands second, and the application commands third.