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Audio has become an increasingly crucial biometric modality due to itsability to provide an intuitive way for humans to interact with machines. It iscurrently being used for a range of applications, including personauthentication to banking to virtual assistants. Research has shown that thesesystems are also susceptible to spoofing and attacks. Therefore, protectingaudio processing systems against fraudulent activities, such as identity theft,financial fraud, and spreading misinformation, is of paramount importance. Thispaper reviews the current state-of-the-art techniques for detecting audiospoofing and discusses the current challenges along with open researchproblems. The paper further highlights the importance of considering theethical and privacy implications of audio spoofing detection systems. Lastly,the work aims to accentuate the need for building more robust and generalizablemethods, the integration of automatic speaker verification and countermeasuresystems, and better evaluation protocols.

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