Speech Biometric Filtering for Consent-Based Audio Retention
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Solution Overview
Problem
The challenge of processing and storing speech data from minors and non-consenting individuals is complicated by legal requirements for informed consent, as existing methods do not reliably ensure compliance with regulations like COPPA and GDPR, particularly when multiple voices are captured.
Innovation Solution
A method and system that processes speech data by extracting biometric data, matching it against consenting user profiles, and deleting data without consent within a predetermined time if no match is found, ensuring compliance with legal and ethical standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If speech data is collected and stored from all users including minors, then the quantity of speech data available for analysis and model training increases, but compliance with legal requirements for informed consent becomes difficult to ensure
Solution Approach 1:
The patent extracts biometric data from speech recordings to create speaker profiles. By identifying and separating speech from multiple speakers, the system can determine which recordings contain speech from consenting users and which do not, enabling compliance with informed consent requirements while maintaining data collection
Solution Approach 2:
The patent introduces biometric analysis as an intermediary mechanism between speech collection and consent verification. By using voiceprint technology to identify speakers, the system creates a reliable method for determining whether consent was obtained, serving as a mediator that bridges the gap between data collection and legal compliance
2Reliability
If biometric data is extracted and stored for consent verification, then the ability to ensure compliance with data protection regulations improves, but the complexity of the data processing system increases
Solution Approach 1:
The patent performs biometric analysis and speaker identification in advance, before making decisions about data retention. By pre-processing speech recordings to extract and analyze biometric data, the system prepares consent verification information ahead of time, simplifying subsequent compliance decisions
Solution Approach 2:
The system uses the speech data itself to verify consent - the biometric information embedded in the speech recordings serves as self-verification of speaker identity. This self-service approach to consent verification reduces the need for external documentation and simplifies the overall system
3Duration of action of stationary object
If speech data is retained for long-term storage, then the value of the data for future analysis and personalized models increases, but the risk of storing data from non-consenting individuals increases
Solution Approach 1:
The patent implements a feedback mechanism where biometric analysis results directly influence data retention decisions. By continuously analyzing speech recordings to identify speakers and cross-referencing with consent records, the system provides real-time feedback to determine whether data should be retained or deleted
Solution Approach 2:
The system performs preliminary biometric analysis and consent verification before long-term storage decisions are made. By pre-screening data for consent compliance, the system ensures that only authorized data is retained for the long term, eliminating the risk of storing non-consenting individuals' data
Data Source
AI summary
Methods and systems for processing audio signals containing speech data are disclosed. Biometric data associated with at least one speaker are extracted from an audio input. A correspondence is determined between the extracted biometric data and stored biometric data associated with a consenting user profile, where a consenting user profile is a user profile indicates consent to store biometric data. If no correspondence is determined, the speech data is discarded, optionally after having been processed.