Gateway Speaker-Device Association via Voice-Traffic Correlation
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Solution Overview
Problem
Existing speaker recognition systems in home gateways face challenges in accurately identifying speakers, especially in noisy conditions, and require methods to associate users with their devices for enhanced security and service personalization.
Innovation Solution
A method that captures voice data through a network device's microphone, correlates it with IP traffic patterns to identify devices, and uses voice features to associate speakers with their devices, improving recognition accuracy without requiring dedicated software or configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If speaker recognition is performed using only acoustic signal analysis, then the system is simple to implement, but the error rate increases in noisy conditions
Solution Approach 1:
The patent combines acoustic signal analysis with network traffic analysis to create a multimodal speaker recognition system. The gateway device merges two different data sources (voice signals and IP traffic patterns) to improve recognition accuracy, particularly in noisy conditions where acoustic-only methods fail.
Solution Approach 2:
The patent introduces network traffic data as an intermediary modality that mediates between the acoustic signal and the final speaker identification. By analyzing voice-related IP traffic patterns generated by devices associated with speakers, the system creates a complementary recognition pathway that works independently of acoustic quality.
2Measurement precision
If multimodal speaker recognition is implemented using device presence information, then the error rate decreases in noisy conditions, but the system requires association between users and devices
Solution Approach 1:
The gateway device automatically performs device-speaker association without requiring user intervention. The system self-services by monitoring network traffic patterns and automatically linking devices to speakers based on observed voice-related traffic, eliminating the need for manual configuration or dedicated software installation on user devices.
Solution Approach 2:
The patent performs preliminary device association through continuous background monitoring of network traffic. Before actual speaker recognition is needed, the system has already established the mapping between devices and speakers by analyzing voice-related IP traffic patterns, so the association is ready when recognition is required.
3Reliability
If device-user association is established through manual configuration, then the association is accurate, but the process requires dedicated setup time and user intervention
Solution Approach 1:
The system automatically establishes device-user associations by monitoring network traffic patterns and correlating them with acoustic speaker identification. This self-service approach eliminates manual configuration while maintaining association accuracy through continuous observation of voice-related network activity.
Solution Approach 2:
The system uses feedback from network traffic monitoring to continuously refine and verify device-speaker associations. By observing which devices generate voice-related traffic when specific speakers are detected, the system automatically confirms and updates associations without requiring manual verification or setup.
Data Source
AI summary
The present disclosure proposes a solution to associate a device with a user by capturing a voice of a speaker by a microphone connected to the network device (e.g. a residential or home gateway), monitoring the IP traffic of the network device and detecting the device contributing to this IP traffic in order to establish a link between the speaker and his device(s) and associate the device with the speaker.