Voice Fingerprint User Identification and Device Customization
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Solution Overview
Problem
Conventional computing devices are designed for general public use and lack customization, requiring significant manual input for individualization, which is limited to the specific device and does not account for user-specific preferences or behaviors.
Innovation Solution
A system and method for identifying users through voice fingerprinting and secondary data analysis, allowing for customization of device operation based on user profiles, including acoustic, image, and usage data, enabling remote and local device cooperation for tailored user experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If devices are designed for general public use with generic interfaces, then device complexity is reduced and ease of manufacture is improved, but adaptability to individual users deteriorates
Solution Approach 1:
The system performs preliminary user identification through voice fingerprinting before customization occurs. Voice prints are captured and stored in advance, allowing the device to automatically identify and adapt to the user without requiring manual configuration during initial setup, thus resolving the contradiction between adaptability and complexity
Solution Approach 2:
The device automatically customizes itself based on identified user profiles without requiring manual intervention. The system self-adjusts interface settings, applications, and configurations based on the stored voice print matching results, eliminating the need for complex manual customization processes while maintaining high adaptability
2Adaptability or versatility
If manual customization is required for individual users, then adaptability to user preferences is improved, but ease of operation deteriorates due to significant manual input required
Solution Approach 1:
The system replaces manual mechanical customization operations with automated acoustic field-based voice print identification. Instead of requiring users to manually navigate through complex customization menus, the device uses voice-based automated identification and configuration, significantly improving ease of operation while maintaining full customization capability
Solution Approach 2:
Voice prints serve as an intermediary between the user and the device customization process. The voice print acts as a mediator that automatically triggers the appropriate user profile and configuration settings, eliminating the need for direct manual interaction with customization interfaces while achieving complete user-specific adaptation
3Ease of manufacture
If devices use generic interfaces for general public, then ease of manufacture is improved, but loss of information about user-specific preferences increases
Solution Approach 1:
The system segments users into distinct profiles based on voice print identification. Each user profile contains specific preferences, settings, and information tailored to that individual. This segmentation allows the device to maintain a simple generic base interface for ease of manufacture while simultaneously preserving and retrieving detailed user-specific information through automated voice-based profile matching
Data Source
AI summary
A system and method for identifying a user of a device includes comparing audio received by a device with acoustic fingerprint information to identify a user of the device. Image data, video data and other data may also be used in the identification of the user. Once the user is identified, operation of the device may be customized based on the user. Further, once the user is identified, data can be associated with the user, for example, usage data, location data, gender data, age data, dominant hand data of the user, and other data. This data can then be used to further customize the operation of the device to the specific user.