Forensic Perspective on Voice Biometrics and AI : A Review

Pragati Jain; Poorvi Ujjainia; Anshika Srivastava; Kajal Shrivastav; Ishu Rani; Akshat Vashisht; Rudranarayan Behera; Bhavika Moza; Debhjit Mukherjee

doi:10.32628/IJSRST2411581

Authors

Pragati Jain Department of forensic science, University Institute of applied health sciences, Chandigarh university, NH-95, Ludhiana, Punjab, India Author https://orcid.org/0009-0000-8666-7129
Poorvi Ujjainia Department of forensic science, University Institute of applied health sciences, Chandigarh university, NH-95, Ludhiana, Punjab, India Author https://orcid.org/0009-0000-1170-4589
Anshika Srivastava Department of Forensic Science, College of Paramedical Sciences, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India Author https://orcid.org/0000-0003-0132-1060
Kajal Shrivastav Department of forensic science, University Institute of applied health sciences, Chandigarh university, NH-95, Ludhiana, Punjab, India Author https://orcid.org/0000-0002-2819-421X
Ishu Rani Department of Forensic Sciences, Chandigarh School of Business, Chandigarh Group of Colleges, Jhanjeri, Punjab, India Author https://orcid.org/0009-0001-7889-5401
Akshat Vashisht Department of Computer application, Silver Oak College of Computer Application (SOCCA), Silver Oak university, Ahmedabad, Gujarat, India Author https://orcid.org/0009-0005-2823-7952
Rudranarayan Behera Department of forensic science, University Institute of applied health sciences, Chandigarh university, NH-95, Ludhiana, Punjab, India Author https://orcid.org/0009-0004-7040-733X
Bhavika Moza Department of forensic science, University Institute of applied health sciences, Chandigarh university, NH-95, Ludhiana, Punjab, India Author https://orcid.org/0009-0001-9019-6267
Debhjit Mukherjee Department of Forensic Sciences, Chandigarh School of Business, Chandigarh Group of Colleges, Jhanjeri, Punjab, India Author https://orcid.org/0009-0009-5673-2554

DOI:

https://doi.org/10.32628/IJSRST2411581

Keywords:

Voice Biometrics, Artificial Intelligence, Deepfake Voice Scams, Deep Learning, Neural Networks, Multilingual Recognition, Forensic Applications

Abstract

Modern internet has given rise to various voice related crimes worldwide, notably deepfake voice scams where the perpetrators utilize artificial intelligence to deceive victims by the means of forgery of voice. This review article aims to discuss the advancements and challenges in voice biometrics, particularly focusing on the impact of AI and deep learning on this field. It underscores the evolution of voice biometrics from early methods to modern AI enhanced techniques, by highlighting the significant improvements in accuracy, security, and adaptability etc. The key findings of the article have highlighted that while AI-driven advancements have addressed many challenges including voice robustness and multilingual recognition, new threats like deep fake audio require ongoing innovation. The integration of various methods like deep learning, neural networks and advanced feature extraction has shown incredible potential in enhancing the system resilience. But challenges such as voice variability, privacy concerns and the forensic applications of these technologies remain critical issue to be addressed by the future researchers. This review article recommends multidisciplinary research to bridge the gap between this field and forensic science, emphasizing the need for continued development to address and prevent emerging threats very efficiently.

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