Voice Tonal Control System for Cognitive State Alignment
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Solution Overview
Problem
Individuals face challenges in accurately gauging how their tone is perceived by others while speaking, especially in public or remote settings, and robotic voices often convey inappropriate cognitive states, necessitating real-time feedback and adjustment tools to manage their speech effectively.
Innovation Solution
A computer-implemented method using cognitive analysis to determine the actual perceived cognitive state of a user's voice, comparing it to a target state, and providing real-time alerts and recommendations for tonal and vocabulary changes through visual, audible, or haptic feedback, with the option to modify or synthesize the voice to achieve the desired tone.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time cognitive analysis and feedback system is implemented, then communication effectiveness is improved, but device complexity increases
Solution Approach 1:
The system continuously monitors speech parameters (inflection, volume, speed, vocabulary) and provides real-time feedback to the user through alerts and recommendations. This closed-loop feedback mechanism enables users to adjust their speech in real-time to achieve the desired cognitive state, directly improving communication effectiveness while managing system complexity through automated analysis.
Solution Approach 2:
The patent replaces manual self-monitoring and adjustment of speech with an automated computer-based cognitive analysis system. The system uses software to analyze speech patterns and provide recommendations, substituting the mechanical/manual process of self-awareness with an automated digital system that processes speech data and generates feedback.
2Extent of automation
If robotic voices are used to simulate human voice, then automation is improved, but perceived cognitive state accuracy deteriorates
Solution Approach 1:
The system analyzes and adjusts multiple speech parameters (inflection, volume, speed, vocabulary) to modify the perceived cognitive state of robotic voices. By changing these parameters dynamically, the system enables robotic voices to convey appropriate cognitive states for different situations, improving accuracy while maintaining automation.
Solution Approach 2:
The cognitive analysis system provides feedback on the perceived cognitive state of robotic voices and recommends parameter adjustments to achieve the desired emotional tone. This feedback loop allows automated systems to learn and adapt their speech characteristics to better convey intended cognitive states.
Data Source
AI summary
A voice tonal control system is provided to achieve a target perceived cognitive state of a user's voice. For this purpose a computer-implemented method includes receiving, by a computer device, user input defining a target perceived cognitive state of a user's voice, determining, by the computer device, an actual perceived cognitive state of the user's voice based on cognitively analyzing a spoken sample of the user's voice, and providing, by the computer device, an alert in real time to the user based on the actual perceived cognitive state of the user's voice differing from the target perceived cognitive state of the user's voice.