Self-adaptive Voice Device Parameter Generation
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Solution Overview
Problem
Existing intelligent voice devices have a single and boring user experience due to fixed broadcast voice parameters that do not adapt to individual user voice characteristics, requiring users to manually adjust settings, which is cumbersome and inconvenient.
Innovation Solution
A self-adaptive intelligent voice device and method that includes a broadcast voice parameter generating module, which acquires voice parameters from the voice recognizing module and generates broadcast voice parameters based on a default policy, allowing for dynamic adjustment of voice characteristics such as pitch, amplitude, and loudness to match the user's voice, eliminating the need for manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed broadcast voice parameters are used before delivering from the factory, then device complexity is reduced, but user experience becomes single and boring
Solution Approach 1:
The system automatically acquires user voice parameters through the voice recognizing module and generates personalized broadcast voice parameters without requiring manual user configuration. The broadcast voice parameter generating module performs self-service by autonomously adapting the voice output to match individual user characteristics, eliminating the need for users to manually adjust settings while providing personalized voice experiences.
2Adaptability or versatility
If users manually adjust voice broadcast parameters during use, then adaptability to individual user characteristics is improved, but ease of operation deteriorates due to complex and cumbersome adjustments
Solution Approach 1:
The system automatically acquires user voice parameters through the voice recognizing module and generates personalized broadcast voice parameters without requiring manual user configuration. The broadcast voice parameter generating module performs self-service by autonomously adapting the voice output to match individual user characteristics, eliminating the need for users to manually adjust settings while providing personalized voice experiences.
Solution Approach 2:
The system establishes a feedback loop where the voice recognizing module continuously captures user voice parameters, which are then processed by the broadcast voice parameter generating module to adjust broadcast voice characteristics. This closed-loop feedback mechanism ensures that the voice output dynamically adapts to individual user characteristics without requiring manual intervention, resolving the contradiction between adaptability and ease of operation.
3Ease of operation
If fixed broadcast voice parameters are used, then ease of operation is improved, but user experience becomes single and boring
Solution Approach 1:
The system automatically acquires user voice parameters through the voice recognizing module and generates personalized broadcast voice parameters without requiring manual user configuration. The broadcast voice parameter generating module performs self-service by autonomously adapting the voice output to match individual user characteristics, eliminating the need for users to manually adjust settings while providing personalized voice experiences.
Solution Approach 2:
The system performs preliminary voice parameter acquisition and analysis automatically when the device is powered on or upon receiving a trigger signal. The broadcast voice parameter generating module proactively generates personalized voice parameters before the user needs them, ensuring that adaptability is achieved without requiring subsequent manual adjustments from the user.
Data Source
AI summary
A self-adaptive intelligent voice device and method, wherein the device includes a voice recognizing module (101), a recognition result processing module (102), a voice broadcasting module (103), and a broadcast voice parameter generating module (104), and the broadcast voice parameter generating module (104) is configured to acquire extracted voice parameters from the voice recognizing module (101), and generate broadcast voice parameters according to the extracted voice parameters and a default policy, and input the broadcast voice parameters to the voice broadcasting module (103), the abovementioned technical solution enables the broadcast voice more closely matching a user's voice.


