Research in Audio Deepfake Detection

This page lists publications related to audio deepfake detection. We focus mainly on the following topics:

We mainly publish on Interspeech and the ASVspoof workshop.

Replay Attacks on Audio Deepfake Detection

N Müller, P Kawa, W Choong, A Stan, A Bukkapatnam, K Pizzi, A Wagner, P Sperl
Interspeech - 2025

Does Audio Deepfake Detection Generalize?

NM Müller, P Czempin, F Dieckmann, A Froghyar, K Böttinger
Interspeech - 2022

Sc-glowtts: an efficient zero-shot multi-speaker text-to-speech model

E Casanova, C Shulby, E Gölge, NM Müller, FS de Oliveira, AC Junior, ...
InterSpeech - 2021

Speech is silver, silence is golden: What do asvspoof-trained models really learn?

NM Müller, F Dieckmann, P Czempin, R Canals, K Böttinger, J Williams
ASVspoof - 2021

Human perception of audio deepfakes

NM Müller, K Markert, J Williams
First International Workshop on Deepfake Detection for Audio Multimedia - 2021

Attacker Attribution of Audio Deepfakes

NM Müller, F Dieckmann, J Williams
Interspeech - 2022

Mlaad: The multi-language audio anti-spoofing dataset

NM Müller, P Kawa, WH Choong, E Casanova, E Gölge, T Müller, P Syga, ...
IJCNN 2024 - 2024

Towards resistant audio adversarial examples

T Dörr, K Markert, NM Müller, K Böttinger
Proceedings of the 1st ACM Workshop on Security and Privacy on Artificial ... - 2020

Complex-valued neural networks for voice anti-spoofing

NM Müller, P Sperl, K Böttinger
Interspeech - 2023

Harder or Different? Understanding Generalization of Audio Deepfake Detection

NM Müller, N Evans, H Tak, P Sperl, K Böttinger
Interspeech - 2024

A New Approach to Voice Authenticity

NM Müller, P Kawa, S Hu, M Neu, J Williams, P Sperl, K Böttinger
Interspeech - 2024