Voice_Biometrics_for_Security_Systems RITIK.pptx

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1. A SEMINAR ON Voice Biometrics for Security Systems DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATION ENGNEERING SESSION 2024-2025 PRESENTED BY NAME – RITIK SAHU REDG NO - 2321219045 UNDER THE GUIDANCE OF PROF. Subhangi kaliingani

2. Introduction Voice biometrics is an advanced security technology that uses an individual's unique vocal characteristics to verify their identity. As a form of "something you are" authentication, it analyzes a user's physiological and behavioral voice traits to create a secure digital signature called a "voiceprint". It is distinct from speech recognition, which focuses on what is being said, because voice biometrics identifies  who  is speaking.  Voice biometrics offers significant advantages over traditional authentication methods like passwords and PINs, which are vulnerable to theft and easy to forget. It provides a more secure, convenient, and efficient way to authenticate users across various applications, from contact centers to mobile apps. 

3. How Voice Biometrics Works • Captures voice sample using a microphone • Analyzes features: pitch, tone, cadence, and accent • Creates a unique 'voiceprint' stored in database • Authentication compares live voice to stored voiceprint

4. Advantages of Voice Biometrics • Non-intrusive and easy to use • Reduces risk of password theft • Works remotely via phone or online systems • Cost-effective compared to hardware tokens

5. Dis-advantages of Voice Biometrics Voice can change due to illness, aging, or stress . Background noise reduces accuracy . Vulnerable to replay attacks (recorded voice ). Not reliable for people with speech impairments.

6. Challenges of Voice Biometrics • Vulnerable to background noise • Illness or stress can affect voice quality • Risk of spoofing using recorded voices • Requires strong anti-spoofing measures

7. Applications in Security Systems • Banking: customer verification during calls • Telecom: SIM card fraud prevention • Government: secure citizen authentication • Corporate: access to sensitive information

8. Voiceprint Creation Process • Step 1: Enrollment – User provides sample voice data • Step 2: Feature extraction – Identifying unique vocal traits • Step 3: Template creation – Storing digital voiceprint securely • Step 4: Verification – Matching live input with stored template

9. Authentication Methods • Text-dependent: User speaks a specific passphrase • Text-independent: User speaks freely, system still recognizes • Active verification: User must speak intentionally • Passive verification: System analyzes natural conversation

10. Anti-Spoofing Techniques • Liveness detection to prevent replay attacks • Detecting synthetic/artificial voices • Background analysis for unnatural patterns • Multi-factor authentication integration

11. Comparison with Other Biometrics • Voice vs Fingerprint: No physical touch required • Voice vs Facial Recognition: Works in low light or remote calls • Voice vs Iris Scan: Less expensive, easier to deploy • Best used in combination with other biometrics

12. Future of Voice Biometrics • AI-driven anti-spoofing advancements • Integration with IoT and smart devices • Cloud-based biometric authentication • Broader adoption in healthcare and e-commerce

13. Case Studies • HSBC Bank uses voice authentication in call centers • Aadhaar India exploring voice for citizen services • Barclays implementing voice recognition for fraud prevention • Telecom operators reducing SIM swap fraud

14. Conclusion • Voice biometrics is a powerful security tool • Balances convenience with strong authentication • Must address challenges like spoofing and noise • Future lies in AI integration and multi-factor security

15. Special thank you to Prof.Snehasish Dey Sir (HOD) for his inspiration to conduct the seminar. Thank you to Guide Prof . Subhangi kaliingani ma’am for his guidance to present the seminar. Also thank you to all the faculty members present over here and my colleagues. VOTE OF THANKS