System-Initiated Speech Interaction for Event Response
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Solution Overview
Problem
Existing speech recognition systems require users to manually initiate and terminate speech interaction, which can be cumbersome and distract from other tasks, and do not efficiently conserve computing bandwidth.
Innovation Solution
The system-initiated speech interaction framework automatically enables and disables speech interaction based on system events, allowing users to respond verbally without explicit commands, using a tailored voice command dictionary to enhance recognition accuracy and minimize distractions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually initiate and terminate speech interaction, then speech recognition can be performed, but user workload increases and productivity decreases
Solution Approach 1:
The system automatically detects system events and initiates speech interaction without requiring user activation. The computing system monitors for relevant events (emails, calendar items, messages) and autonomously activates the speech recognition engine when appropriate, allowing the system to serve itself rather than requiring manual user initiation.
Solution Approach 2:
The system prepares and configures the speech recognition engine in advance based on predicted user needs. By monitoring system events and pre-configuring speech interaction parameters before user input is needed, the system eliminates the manual step of initiating speech recognition and reduces latency when users do speak.
2Ease of operation
If speech interaction is continuously enabled, then user response convenience increases, but computing bandwidth is wasted
Solution Approach 1:
The speech recognition engine operates dynamically, transitioning between active and inactive states based on system conditions. Rather than continuous operation, the engine is activated only when relevant system events occur and deactivated when no events are present, optimizing the balance between user convenience and resource consumption.
Solution Approach 2:
The system employs periodic monitoring of system events to determine when speech interaction should be enabled. Instead of continuous speech recognition, the system periodically checks for triggering events (new emails, calendar reminders, messages) and activates speech recognition only during relevant periods.
3Adaptability or versatility
If a general vocabulary is recognized, then speech recognition flexibility increases, but false positives increase
Solution Approach 1:
The speech recognition system uses context-specific vocabulary lists tailored to each system event type. Instead of a single general vocabulary, the system maintains different word lists for different contexts (email commands, calendar commands, messaging commands), improving recognition accuracy by matching vocabulary to local context while maintaining overall system versatility.
Solution Approach 2:
The system dynamically adjusts recognition parameters including vocabulary selection, sensitivity thresholds, and command patterns based on the current system event context. By changing these parameters according to the specific situation, the system maintains high versatility across different event types while reducing false positives through context-appropriate settings.
Data Source
AI summary
Whenever an event occurs on a computing system which will accept a response from a user of the system, the system automatically determines whether or not to enable speech interaction with the system for the event response. Whenever speech interaction is enabled with the system for the event response, the system provides a notification to the user which informs the user of the event and their options for responding thereto, where these options include responding verbally. Whenever the user responds within a prescribed period of time via a voice command (VC), the system attempts to recognize the VC. Whenever the VC is successfully recognized, the system responds appropriately to the VC.