Keynote Speaker

Affirming the Human Origin of Speech: Biosignal-based Authentication for Trustworthy Communication in the Age of Deepfakes by Visar Berisha (Arizona State University)

Abstract: The proliferation of generative AI has introduced sophisticated synthetic speech capabilities, fundamentally challenging traditional methods of verifying speaker authenticity. Most existing approaches rely on using AI to detect AI-generated content, a reactive strategy that becomes increasingly ineffective as synthetic techniques improve. In this presentation, I propose a proactive alternative: instead of attempting to detect machine-generated speech, we focus on affirmatively proving that speech originates from a live human speaker. This approach emphasizes the development of tamper-resistant speech interfaces capable of verifying that the speech signal itself is produced by the articulatory movements of a present, living human, rather than synthesized by an AI system. I will introduce a novel hardware-software solution that operates entirely at the edge, combining radar and microphone inputs to capture biosignals such as articulatory motion, glottal activity, heartbeat, and respiration. These signals are analyzed in real time to confirm the physical presence and biological origin of speech, producing a continuous “proof-of-personhood” signal that persists throughout the interaction. Unlike current detection-based methods, this system is invariant to advances in generative AI, offering a more robust foundation for trust in speech communication. The presentation will cover technical performance under standard and adversarial conditions, explore ethical and privacy considerations, and examine the implications for human communication in high-stakes domains.

Bio: Visar Berisha is a professor at Arizona State University with a joint appointment in the School of Electrical, Computer and Energy Engineering and the College of Health Solutions. His interdisciplinary research lies at the intersection of engineering and human health, focusing on how neurological conditions affect human behavior—particularly through speech. His team has developed AI-driven tools for detecting clinically relevant behavioral changes, which are now FDA-registered and used internationally by pharmaceutical companies and healthcare providers. His work exemplifies how machine learning and signal processing can advance digital health monitoring at scale.

Program

We are glad to announce the preliminary program. All times are in Central European Summer Time (CEST) (UTC+2).

Saturday, August 16th 2025

All times are given with respect to the UTC+02:00 zone (Central European Summer Time, CEST).
You can use a time zone converter to check the times in your local time zone.

Location

The Symposium is held at Aula Conference Center at TU Delft.

TU Delft is approximately 30 km from the Rotterdam Ahoy Convention Centre where Interspeech 2025 is located. Plan your trip using: https://9292.nl/en/ Take a train to Delft Central Station and go up the escalators to the ground floor to exit the station. Either walk to from there to the Aula Conference Center (2km) or follow the signs inside the station to the bus departures, which are located next to the station. The closest bus stop to the venue is called “Christiaan Huygensweg, Delft” (make sure to choose “Christiaan Huygensweg” in Delft and not in another city). For train or bus, you can pay using a contactless credit or debit card. Touch it to the reader at the beginning and the end of your trip.

Address:

Lecture Room C
Aula Conference Center (Aula Congrescentrum)
Mekelweg 5
Delft University of Technology (TU Delft)
2628 CC Delft, Netherlands

In the following map you can see the Symposiums Location (1) and the Interspeech Location (2).

How to reach?

Social dinner:

Restaurant “Café de V” Voorstraat 9, Delft https://www.cafe-de-v.nl

Organizing Committee

Ingo SIEGERT, Otto von Guericke University Magdeburg, Germany

Sneha DAS, Technical University of Denmark, Denmark

Natalia TOMASHENKO, Inria, France

M.A. (Martha) LARSON, Radboud University, The Netherlands

MEHTAB UR RAHMAN, Radboud University, The Netherlands

Program Committee

(alphabetical)

Ajinkya Kulkarni, Idiap Research Institute, Switzerland

Brij Mohan Lal Srivastava, Nijta, France

Candy Olivia Mawalim, Japan Advanced Institute of Science and Technology, Japan

David Boyle, Imperial College London, UK

Emmanuel Vincent, Inria, France

Gerald Penn, University of Toronto, Canada

Hemlata Tak, Pindrop, USA

Ingo Siegert, Otto von Guericke University Magdeburg, Germany

Jennifer Williams, University of Southampton, UK

Junichi Yamagishi, National Institute of Informatics, Japan

Korbinian Riedhammer, Nuremberg Institute of Technology, Germany

Lin Zhang, National Institute of Informatics, Japan

Md Sahidullah, TCG CREST & Academy of Scientific and Innovative Research (AcSIR), India

Natalia Tomashenko, Inria, France

Nick Evans, EURECOM, France

Pierre Champion, Inria, France

Sarina Meyer, University of Stuttgart, Germany

Sebastian Le Maguer, University of Helsinki, Finland

Simon King, University of Edinburgh, UK

Sneha Das, Technical University of Denmark, Denmark

Tim Polzehl, DFKI, Germany

Tom Bäckström, Aalto University, Finland

Xiaoxiao Miao, Singapore Institute of Technology, Singapore

Xin Wang, National Institute of Informatics, Japan

You (Neil) Zhang, University of Rochester, USA

Ziqian Luo, Carnegie Mellon University, USA

Sponsors