Voiceprint Recognition for Multi-User AI Speaker Personalization
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Solution Overview
Problem
The increasing number of households with multiple AI speakers poses a challenge in integrating multiple AI assistants on a single platform, necessitating a solution for user verification and personalized service delivery.
Innovation Solution
A user-customized AI speaker-based personalized service system utilizing voiceprint recognition, which includes a voice recognition device with a storage unit for user speech samples, a receiver for utterance processing, and a determination unit for verifying registered users through comparison of voice patterns, enabling execution of user-specific instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple AI assistants are integrated on one platform, then user verification and personalized service delivery become challenging, but the system can serve multiple users more efficiently
Solution Approach 1:
The patent replaces manual user verification methods with voiceprint recognition technology. The system captures voice signals, extracts acoustic features, and performs automated speaker verification to identify users, eliminating the need for manual verification processes and enabling efficient multi-user service delivery.
Solution Approach 2:
The system enables users to verify themselves automatically through their voice patterns without requiring external authentication. The voiceprint recognition system independently identifies and authenticates users based on their unique vocal characteristics, allowing self-service verification.
2Adaptability or versatility
If voiceprint recognition is implemented for user verification, then personalized service delivery is improved, but system complexity increases
Solution Approach 1:
The patent segments the voiceprint recognition system into distinct functional modules: voice signal acquisition, feature extraction, speaker verification, and service delivery. This modular architecture manages system complexity by organizing functions into separate, manageable components that can operate independently.
Solution Approach 2:
The system introduces an intermediary layer between voice input and service delivery - the voiceprint recognition module. This intermediary processes and verifies user identity before triggering personalized services, acting as a mediator that enables adaptability while managing system complexity through standardized interfaces.
3Adaptability or versatility
If multiple AI assistants modules are installed in one AI speaker, then platform integration is achieved, but user identification accuracy may be compromised
Solution Approach 1:
The patent implements local quality by dedicating specific voiceprint recognition capabilities to each user within the integrated platform. Each user's voice patterns are stored and verified independently, ensuring that the presence of multiple AI assistants does not compromise the accuracy of individual user identification.
Solution Approach 2:
The system changes parameters by storing multiple voiceprint templates in the database, one for each registered user. The verification process compares the input voice against the specific user's stored template, adjusting the identification process to maintain high accuracy despite multiple users and assistants sharing the platform.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables multiple AI assistants to operate on one platform, providing user-specific services by accurately identifying and verifying users, thus allowing for personalized service delivery across a small group of users.
Implementation Method 1
a voice recognition device that is used by a predetermined group of users, identifies each of the users through voice recognition
Implementation Method 2
the determination unit comparing the first utterance of the first utterer with speech samples stored in the storage unit to determine whether the first utterer is a registered user
Data Source
AI summary
Disclosed is a user-customized artificial intelligence (AI) speaker-based personalized service system using voiceprint recognition. The system is used by a small group of users. The system includes a voice recognition device that identifies each user through voice recognition and enables a voice instruction of each user to be executed, and a data processing device interconnected with the voice recognition device. The voice recognition device includes a storage unit that stores speech samples of respective registered users, a receiver that receives a first utterance of a first utterer, a determination unit that determines whether the first utterer is a registered user by comparing the first utterance of the first utterer against the speech samples of the respective registered users stored in the storage unit, and an execution that generates an instruction signal corresponding to a first instruction phrase uttered as a first voice instruction by the first utterer.