Account-Specific Voice Transformation for Replay-Resistant Authentication
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Solution Overview
Problem
Voice authentication systems are susceptible to attacks by adverse parties who can replay or recreate a user's voice, leading to unauthorized access and a domino effect of security breaches across multiple systems, deterring users and providers from adopting this security measure.
Innovation Solution
Implementing a transformed voice for user authentication, where a voice transformation model adjusts a user's voice input to generate an enrollment voice specific to each account, ensuring that different voices are associated with different accounts, making it difficult for adversaries to access multiple accounts with a single compromised voice.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice authentication is implemented without transformation, then authentication simplicity is improved, but security is worsened due to replay and recreation attacks
Solution Approach 1:
The patent transforms the voice signal by modifying its parameters (pitch, tone, frequency) through neural network-based voice transformation models. This changes the acoustic characteristics of the voice without altering the underlying linguistic content, making replayed or recreated voices unverifiable while maintaining authentication simplicity for legitimate users.
Solution Approach 2:
The patent introduces voice transformation models as an intermediary layer between the user's voice input and the authentication verification process. This intermediary transforms the voice into a protected form that cannot be easily replayed or recreated, thereby enhancing security without requiring users to change their authentication behavior.
2Ease of operation
If a single voice is used for multiple accounts, then ease of access is improved, but security is worsened due to domino effect of breaches
Solution Approach 1:
The patent segments the authentication process by creating account-specific voice transformation models that are uniquely tied to each user account. Instead of using a single universal voice for multiple accounts, each account has its own transformed voice representation, isolating security breaches to individual accounts and preventing domino effects.
Solution Approach 2:
The patent applies local quality by making each account's voice transformation model unique and specific to that account's security requirements. The voice transformation parameters and characteristics are localized to each account, ensuring that compromise of one account's voice does not affect other accounts.
3Reliability
If voice transformation is applied, then security is improved, but device complexity is worsened
Solution Approach 1:
The patent replaces traditional mechanical or rule-based voice verification systems with neural network-based voice transformation models. This substitution enables sophisticated security transformations while maintaining a relatively simple user interface and authentication flow, as the complexity is handled automatically by the trained models.
Solution Approach 2:
The patent performs preliminary action by pre-training voice transformation models during an enrollment phase before actual authentication occurs. This preliminary training captures the user's voice characteristics and creates the transformation model, so that during authentication, the system only needs to apply the pre-established transformation rather than performing complex real-time analysis.
Data Source
AI summary
Methods and apparatus for voice transformation, authentication, and metadata communication are disclosed. An example apparatus includes interface circuitry, machine readable instructions, and programmable circuitry to identify an enrollment voice associated with the account, a first voice transformation applied to a first voice input to produce the enrollment voice, the first voice transformation to cause the enrollment voice to include first voice-specific features different from second voice-specific features of the first voice input, access a transformed voice associated with a second voice input provided in association with a request to access the account from a user device, the first voice transformation or a second voice transformation to cause the transformed voice to have third voice-specific features different from fourth voice-specific features of the second voice input, and determine whether to provide the user device access to the account based on the first voice-specific features and the third voice-specific features.