5 citations · 6 across the 7 of their papers we have counts for
8 papers
Few-Shot Calibration for Sim-to-Real Single-Channel Speaker Distance Estimation
Michael Neri, Archontis Politis, Tuomas Virtanen
Speaker distance estimators are trained almost exclusively on simulated room acoustics, because real recordings annotated with the true talker-to-microphone distance are scarce. We…
Domain-Incremental Learning for Multi-Channel Replay Speech Detection
Michael Neri
Replay attacks are the most accessible threat to voice-controlled systems, and the acoustic cues that expose them are strongly modulated by the environment in which the attack is m…
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…
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…
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…
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…
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…
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…