collaborators

6 papers

eess.AS2026

Dependence on Early and Late Reverberation of Single-Channel Speaker Distance Estimation

Michael Neri, Archontis Politis, Tuomas Virtanen

Single-channel speaker distance estimation has recently achieved centimeter-level accuracy in simulated environments, yet it remains unclear which components of the room impulse re…

eess.AS2026

Acoustic Simulation Framework for Multi-channel Replay Speech Detection

Michael Neri, Tuomas Virtanen

Replay speech attacks pose a significant threat to voice-controlled systems, especially in smart environments where voice assistants are widely deployed. While multi-channel audio…

eess.AS2026

Multi-Channel Replay Speech Detection using Acoustic Maps

Michael Neri, Tuomas Virtanen

Replay attacks remain a critical vulnerability for automatic speaker verification systems, particularly in real-time voice assistant applications. In this work, we propose acoustic…

eess.AS2025

Impact of Microphone Array Mismatches to Learning-based Replay Speech Detection

Michael Neri, Tuomas Virtanen

In this work, we investigate the generalization of a multi-channel learning-based replay speech detector, which employs adaptive beamforming and detection, across different microph…

cs.CV2025

Unsupervised Network Anomaly Detection with Autoencoders and Traffic Images

Michael Neri, Sara Baldoni

Due to the recent increase in the number of connected devices, the need to promptly detect security issues is emerging. Moreover, the high number of communication flows creates the…

eess.AS2025

Multi-channel Replay Speech Detection using an Adaptive Learnable Beamformer

Michael Neri, Tuomas Virtanen

Replay attacks belong to the class of severe threats against voice-controlled systems, exploiting the easy accessibility of speech signals by recorded and replayed speech to grant…