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04/14/2023
Novel features for the detection of bearing faults in railway vehicles
In this paper, we address the challenging problem of detecting bearing f...
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04/14/2023
Airborne-Sound Analysis for the Detection of Bearing Faults in Railway Vehicles with Real-World Data
In this paper, we address the challenging problem of detecting bearing f...
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04/14/2023
1-D Residual Convolutional Neural Network coupled with Data Augmentation and Regularization Techniques for the ICPHM 2023 Data Challenge
In this article, we present our contribution to the ICPHM 2023 Data Chal...
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03/14/2023
Localizing Spatial Information in Neural Spatiospectral Filters
Beamforming for multichannel speech enhancement relies on the estimation...
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10/27/2022
Exploiting spatial information with the informed complex-valued spatial autoencoder for target speaker extraction
In conventional multichannel audio signal enhancement, spatial and spect...
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07/28/2022
A Unifying View on Blind Source Separation of Convolutive Mixtures based on Independent Component Analysis
In many daily-life scenarios, acoustic sources recorded in an enclosure ...
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03/03/2022
Deep Learning-Based Joint Control of Acoustic Echo Cancellation, Beamforming and Postfiltering
We introduce a novel method for controlling the functionality of a hands...
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01/24/2022
Microphone Utility Estimation in Acoustic Sensor Networks using Single-Channel Signal Features
In multichannel signal processing with distributed sensors, choosing the...
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10/05/2021
Manifold learning-supported estimation of relative transfer functions for spatial filtering
Many spatial filtering algorithms used for voice capture in, e.g., telec...
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06/02/2021
End-To-End Deep Learning-Based Adaptation Control for Frequency-Domain Adaptive System Identification
We present a novel end-to-end deep learning-based adaptation control alg...
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12/16/2020
A Synergistic Kalman- and Deep Postfiltering Approach to Acoustic Echo Cancellation
We introduce a synergistic approach to double-talk robust acoustic echo ...
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11/06/2020
Misalignment Recognition in Acoustic Sensor Networks using a Semi-supervised Source Estimation Method and Markov Random Fields
In this paper, we consider the problem of acoustic source localization b...
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07/03/2020
Noise-Robust Adaptation Control for Supervised System Identification Exploiting A Noise Dictionary
We present a noise-robust adaptation control strategy for block-online s...
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07/03/2020
Online Supervised Acoustic System Identification exploiting Prelearned Local Affine Subspace Models
In this paper we present a novel algorithm for improved block-online sup...
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06/24/2020
Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Networks
We present an approach to deep neural network based (DNN-based) distance...
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09/03/2019
The LOCATA Challenge: Acoustic Source Localization and Tracking
The ability to localize and track acoustic events is a fundamental prere...
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11/20/2018
Proceedings of the LOCATA Challenge Workshop - a satellite event of IWAENC 2018
Algorithms for acoustic source localization and tracking provide estimat...
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09/21/2017
Broadband Multizone Sound Rendering by Jointly Optimizing the Sound Pressure and Particle Velocity
In this paper, a recently proposed approach to multizone sound field syn...
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08/04/2016
An improved uncertainty decoding scheme with weighted samples for DNN-HMM hybrid systems
In this paper, we advance a recently-proposed uncertainty decoding schem...
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04/14/2016
Estimating parameters of nonlinear systems using the elitist particle filter based on evolutionary strategies
In this article, we present the elitist particle filter based on evoluti...
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11/18/2014
The NLMS algorithm with time-variant optimum stepsize derived from a Bayesian network perspective
In this article, we derive a new stepsize adaptation for the normalized ...
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10/09/2014
Spatial Diffuseness Features for DNN-Based Speech Recognition in Noisy and Reverberant Environments
We propose a spatial diffuseness feature for deep neural network (DNN)-b...
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10/11/2013
