Dynamic Voiceprint Update for Recognition Accuracy
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Solution Overview
Problem
Voiceprint recognition systems face challenges in maintaining accuracy due to changes in user voice features caused by personal circumstances and external environmental factors, leading to inconsistent voiceprint verification and poor user experience.
Innovation Solution
A data update method that involves acquiring audio data from multiple conversation scenarios, extracting audio feature information, and updating voiceprint information based on successful voice recognition, allowing the voiceprint information to adapt to user voice feature changes and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voiceprint information is kept static for security, then security is improved, but voiceprint recognition accuracy deteriorates due to user voice feature changes
Solution Approach 1:
The patent implements dynamic voiceprint information that automatically updates based on user voice features captured in conversation scenarios. The voiceprint information transitions from a static state to a dynamic state that adapts to user voice changes over time, resolving the contradiction between security (static) and recognition accuracy (dynamic).
Solution Approach 2:
The system performs self-updating of voiceprint information by automatically capturing user voice features during natural conversations and updating the voiceprint database without requiring manual user intervention. This self-service mechanism maintains both security and accuracy simultaneously.
2Measurement precision
If voiceprint information is updated frequently to improve accuracy, then voiceprint recognition accuracy is improved, but system complexity increases
Solution Approach 1:
The patent implements continuous voice feature capture and updating during natural conversation scenarios, transforming the discrete updating process into a continuous background operation. This eliminates the need for complex manual update triggers while maintaining high recognition accuracy through persistent adaptation.
Solution Approach 2:
The system automatically manages the entire voiceprint updating process including voice feature extraction, comparison, and database updates without requiring complex user interaction or manual intervention, thereby reducing system operational complexity while maintaining high accuracy.
3Adaptability or versatility
If voiceprint recognition is performed in multiple conversation scenarios, then adaptability is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary voice feature extraction and processing during the conversation capture phase, preparing the data in advance for recognition. This preliminary action reduces the actual recognition processing time while maintaining adaptability across multiple conversation scenarios.
Solution Approach 2:
The system continuously captures and processes voice features in the background during natural conversations, transforming the sequential process into a continuous operation. This eliminates idle time between capture and recognition while maintaining high adaptability to different conversation contexts.
Data Source
AI summary
Data update methods, systems, and devices are disclosed. The method includes: acquiring at least a first piece of audio data of a user in a first conversation scenario and at least a second piece of audio data of the user in a second conversation scenario, performing voiceprint recognition on the first and second pieces of audio data based on voiceprint information of the user, acquiring audio feature information of the first and second pieces of audio data, and updating voiceprint information of the user according to the audio feature information.