148 citations · 172 across the 22 of their papers we have counts for
6 papers · 1 filter
Subspace Hybrid MVDR Beamforming for Augmented Hearing
Sina Hafezi, Alastair H. Moore, Pierre H. Guiraud +4
Signal-dependent beamformers are advantageous over signal-independent beamformers when the acoustic scenario - be it real-world or simulated - is straightforward in terms of the nu…
Dual input neural networks for positional sound source localization
Eric Grinstein, Vincent W. Neo, Patrick A. Naylor
In many signal processing applications, metadata may be advantageously used in conjunction with a high dimensional signal to produce a desired output. In the case of classical Soun…
Graph neural networks for sound source localization on distributed microphone networks
Eric Grinstein, Mike Brookes, Patrick A. Naylor
Distributed Microphone Arrays (DMAs) present many challenges with respect to centralized microphone arrays. An important requirement of applications on these arrays is handling a v…
Long-term Conversation Analysis: Exploring Utility and Privacy
Francesco Nespoli, Jule Pohlhausen, Patrick A. Naylor +1
The analysis of conversations recorded in everyday life requires privacy protection. In this contribution, we explore a privacy-preserving feature extraction method based on input…
Two-Stage Voice Anonymization for Enhanced Privacy
Francesco Nespoli, Daniel Barreda, Joerg Bitzer +1
In recent years, the need for privacy preservation when manipulating or storing personal data, including speech , has become a major issue. In this paper, we present a system addre…
Subspace Hybrid Beamforming for Head-worn Microphone Arrays
Sina Hafezi, Alastair H. Moore, Pierre Guiraud +4
A two-stage multi-channel speech enhancement method is proposed which consists of a novel adaptive beamformer, Hybrid Minimum Variance Distortionless Response (MVDR), Isotropic-MVD…