Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects

TL;DR

This paper reviews current audio spoofing detection techniques, discusses challenges and open problems, and emphasizes the need for more robust, ethical, and integrated solutions to protect biometric systems from fraud.

Contribution

It provides a comprehensive overview of state-of-the-art methods, highlights key challenges, and proposes future directions for developing more effective audio spoofing detection systems.

Findings

Current techniques have limitations in robustness and generalization.

Open research problems include ethical considerations and evaluation protocols.

Integration of verification and countermeasure systems is crucial.

Abstract

Audio has become an increasingly crucial biometric modality due to its ability to provide an intuitive way for humans to interact with machines. It is currently being used for a range of applications, including person authentication to banking to virtual assistants. Research has shown that these systems are also susceptible to spoofing and attacks. Therefore, protecting audio processing systems against fraudulent activities, such as identity theft, financial fraud, and spreading misinformation, is of paramount importance. This paper reviews the current state-of-the-art techniques for detecting audio spoofing and discusses the current challenges along with open research problems. The paper further highlights the importance of considering the ethical and privacy implications of audio spoofing detection systems. Lastly, the work aims to accentuate the need for building more robust and generalizable methods, the integration of automatic speaker verification and countermeasure systems, and better evaluation protocols.