Battling Deepfakes and Synthetic Voices: Safeguarding Voice Biometrics Systems

Hosted by:
Haydar Talib
Haydar Talib
Matt Smallman
Matt Smallman

Recorded: 25 May 23 - 117 watches

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In this insightful webinar, we explored the growing challenge of deepfake and synthetic voice attacks on Voice Biometrics systems. With the rapid advancements in artificial intelligence and machine learning, malicious actors are finding increasingly sophisticated ways to bypass security measures, making it crucial for organisations to stay ahead of these emerging threats.

This session covered the following key topics:

  • Understanding deepfakes and synthetic voices: Learn about the technology behind these deceptive audio manipulations and their potential impact on voice biometrics security.
  • Identifying vulnerabilities: Discover the weak points in current voice biometrics systems that make them susceptible to deepfake and synthetic voice attacks.
  • Detection and prevention techniques: Explore state-of-the-art methods and best practices for detecting and mitigating deepfake and synthetic voice attacks on voice biometrics systems.
  • Building resilience: Learn how to develop robust voice biometrics strategies that can adapt to the evolving threat landscape and stay ahead of malicious actors.

Watch the full session to equip you with the knowledge and tools to safeguard your Voice Biometrics systems from these emerging threats.


  • 00:47 - Objective and Context
  • 02:15 - Introducing Haydar Talib
  • 04:57 - What are the origins of text-to-speech technology
  • 07:24 - How do modern text-to-speech systems create synthetic voices?
  • 11:10 - What are the boundary conditions for synthetic speech to be a threat to Voice Biometrics?
  • 12:11 - How good are the latest synthetic voices?
  • 15:22 - Are they good enough to defeat Voice Biometrics?
  • 22:11 - How much target audio is needed to create a synthetic or deep fake voice?
  • 25:31 - Are they quick enough to be able to maintain a realistic conversation?
  • 27:43 - How to mitigate the threat from deep fakes to Voice Biometrics systems
  • 30:26 - How can presentation attack detection prevent deep fakes?
  • 33:49 - How can watermark detection prevent synthetic voice attacks?
  • 40:34 - How can other authentication methods reduce the threat from synthetic voices?
  • 46:44 - Summarising the mitigations available to protect Voice Biometrics from synthetic speech and deep fake attacks
  • 53:36 - Question: How to manage the impact of press articles on customer confidence?
  • 55:34 - Question: How to respond to customer concerns about the threat to Voice Biometrics?


Haydar Talib
Haydar Talib

Haydar Talib currently leads the Security & Biometrics Research team at Nuance (a Microsoft Company). During his 12 years at Nuance, Haydar had the opportunity to experience different dimensions of the Security & Biometrics business: from working directly with Enterprise organizations on how to best optimize and operationalize biometrics technologies, to driving the product direction, to helping focus research initiatives on the most critical real-world problems. Prior to joining Nuance, Haydar received a PhD in Medical Image Analysis from the University of Bern; his research interests span several topics in the domain of intelligent machines, with an emphasis on identifying and solving practical problems. Haydar is the inventor of ConversationPrint, which expands upon voice biometrics technology by characterizing individuals (or groups of individuals) through their use of language (spoken or written).

Matt Smallman
Matt Smallman

Matt is the author of “Unlock Your Call Centre: A proven way to upgrade security, efficiency and caller experience”, a book based on his more than a decade’s experience transforming the security processes of the world’s most customer-centric organisations.

​​Matt’s mission is to remove “Security Farce” from the call centre and all our lives. All organisations need to secure their call centre interactions, but very few do this effectively today. The processes and methods they use should deliver real security appropriate to the risk, with as little impact on the caller and agent experience as possible. ​​Matt is an independent consultant engaged by end-users of the latest authentication and fraud prevention technologies. As a direct result of his guidance, his clients are some of the most innovative users of modern security technology and have the highest levels of customer adoption. He is currently leading the business design and implementation of modern security for multiple clients in the US and UK.


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