4 citations · 6 across the 7 of their papers we have counts for
8 papers · 1 filter
Distributed Multichannel Wiener Filtering for Topology-Unconstrained Wireless Acoustic Sensor Networks
Paul Didier, Pourya Behmandpoor, Henri Gode +4
This paper introduces the topology-independent distributed multichannel Wiener filter (TI-dMWF), a novel algorithm for distributed node-specific signal estimation in wireless acous…
Distributed Multichannel Wiener Filtering for Wireless Acoustic Sensor Networks
Paul Didier, Toon van Waterschoot, Simon Doclo +4
[This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.] In a wireles…
DNN-Based Online Source Counting Based on Spatial Generalized Magnitude Squared Coherence
Henri Gode, Simon Doclo
The number of active sound sources is a key parameter in many acoustic signal processing tasks, such as source localization, source separation, and multi-microphone speech enhancem…
Closed-Form Successive Relative Transfer Function Vector Estimation based on Blind Oblique Projection Incorporating Noise Whitening
Henri Gode, Simon Doclo
Relative transfer functions (RTFs) of sound sources play a crucial role in beamforming, enabling effective noise and interference suppression. This paper addresses the challenge of…
Relative Transfer Function Vector Estimation for Acoustic Sensor Networks Exploiting Covariance Matrix Structure
Wiebke Middelberg, Henri Gode, Simon Doclo
In many multi-microphone algorithms for noise reduction, an estimate of the relative transfer function (RTF) vector of the target speaker is required. The state-of-the-art covarian…
Covariance Blocking and Whitening Method for Successive Relative Transfer Function Vector Estimation in Multi-Speaker Scenarios
Henri Gode, Simon Doclo
This paper addresses the challenge of estimating the relative transfer function (RTF) vectors of multiple speakers in a noisy and reverberant environment. More specifically, we con…
Adaptive Dereverberation, Noise and Interferer Reduction Using Sparse Weighted Linearly Constrained Minimum Power Beamforming
Henri Gode, Simon Doclo
Interfering sources, background noise and reverberation degrade speech quality and intelligibility in hearing aid applications. In this paper, we present an adaptive algorithm aimi…
Joint Multi-Channel Dereverberation and Noise Reduction Using a Unified Convolutional Beamformer With Sparse Priors
Henri Gode, Marvin Tammen, Simon Doclo
Recently, the convolutional weighted power minimization distortionless response (WPD) beamformer was proposed, which unifies multi-channel weighted prediction error dereverberation…