Bank of America Corporation (20240331707). SYSTEM AND METHOD FOR DIGITAL VOICE DATA PROCESSING AND AUTHENTICATION simplified abstract
Contents
SYSTEM AND METHOD FOR DIGITAL VOICE DATA PROCESSING AND AUTHENTICATION
Organization Name
Inventor(s)
James J. Siekman of Charlotte NC (US)
Tomas M. Castrejon, Iii of Fort Mill SC (US)
Sanjay Arjun Lohar of Charlotte NC (US)
Kyle Mayers of Charlotte NC (US)
Karen Stanek Mcfeeters of York SC (US)
SYSTEM AND METHOD FOR DIGITAL VOICE DATA PROCESSING AND AUTHENTICATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331707 titled 'SYSTEM AND METHOD FOR DIGITAL VOICE DATA PROCESSING AND AUTHENTICATION
The patent application describes a system for digital voice data processing and authentication. It involves receiving a user interaction with a digital audio signal, capturing two audio segments, plotting them, and comparing the plots to determine outlier peaks.
- The system captures and analyzes digital audio signals for authentication purposes.
- It compares two audio segments by plotting them and subtracting to form a difference plot.
- Outlier peaks are identified to determine the authenticity of the user interaction.
- An artificial user probability is assigned based on the quantity of outlier peaks.
- The artificial user probability is displayed on a user interface of an endpoint device.
Potential Applications: - Voice recognition systems for security purposes - Authentication processes for digital transactions - Fraud detection in voice-based systems
Problems Solved: - Ensuring the authenticity of user interactions - Preventing unauthorized access to sensitive information - Enhancing security measures in digital voice processing
Benefits: - Improved accuracy in voice authentication - Enhanced fraud prevention capabilities - Increased security for digital transactions
Commercial Applications: Title: "Enhanced Voice Authentication System for Secure Transactions" This technology can be utilized in industries such as banking, e-commerce, and telecommunications to enhance security measures for user interactions and transactions.
Prior Art: Readers can explore prior research on voice authentication systems, digital signal processing, and fraud detection in voice-based systems to gain a deeper understanding of the technology's background.
Frequently Updated Research: Stay updated on advancements in voice recognition technology, artificial intelligence in authentication systems, and cybersecurity measures for digital transactions.
Questions about the technology: 1. How does the system determine the quantity of outlier peaks in the audio segments? 2. What are the potential limitations of using outlier peaks for user authentication in voice processing systems?
Original Abstract Submitted
systems, computer program products, and methods are described herein for digital voice data processing and authentication. the present invention is configured to receive a user interaction comprising a digital audio signal and capture a first audio segment and a second audio segment of the digital audio signal. the first audio segment and the second audio segment are plotted into corresponding first and second plots. the first and second plots are compared, wherein comparing comprises subtracting the first plot from the second plot to form a difference plot. a quantity of outlier peaks is determined, then an artificial user probability is assigned to the user interaction, wherein the artificial user probability is low if the quantity of outlier peaks is greater than a predetermined outlier peak threshold. the artificial user probability is then displayed on a user interface of an endpoint device.