182 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Carl von Ossietzky Universität OldenburgDE10 papers
- Hearing4allDE9 papers
- KU LeuvenBE3 papers
- Technische Universität IlmenauDE3 papers
- LMU KlinikumDE2 papers
- Ludwig-Maximilians-Universität MünchenDE2 papers
- Politecnico di MilanoIT2 papers
- Universität der Bundeswehr MünchenDE2 papers
- Brookhaven National LaboratoryUS1 paper
- Centre for Research and Technology HellasGR1 paper
- Christian-Albrechts-Universität zu KielDE1 paper
- Cork Institute of TechnologyIE1 paper
24 papers
The Virtual Hearing Clinic (VHC)- a modular online platform for hearing research and hearing health care
Lena Schell-Majoor, Kim M. Rullmann, Tobias Bruns +4
Objective: The aim is to introduce the concept of the Virtual Hearing Clinic (VHC), give an overview of the current status and exemplify its feasibility with data from a diagnostic…
Subjective quality evaluation of personalized own voice reconstruction systems
Mattes Ohlenbusch, Christian Rollwage, Simon Doclo +1
Own voice pickup technology for hearable devices facilitates communication in noisy environments. Own voice reconstruction (OVR) systems enhance the quality and intelligibility of…
A portable solution for simultaneous human movement and mobile EEG acquisition: readiness potential for basketball free-throw shooting
Miguel Contreras-Altamirano, Melanie Klapprott, Nadine Jacobsen +3
Advances in wireless electroencephalography (EEG) technology promise to record brain-electrical activity in everyday situations. To better understand the relationship between brain…
Reference Microphone Selection for the Weighted Prediction Error Algorithm using the Normalized L-p Norm
Anselm Lohmann, Toon van Waterschoot, Joerg Bitzer +1
Reverberation may severely degrade the quality of speech signals recorded using microphones in a room. For compact microphone arrays, the choice of the reference microphone for mul…
Low-Complexity Own Voice Reconstruction for Hearables with an In-Ear Microphone
Mattes Ohlenbusch, Christian Rollwage, Simon Doclo
Hearable devices, equipped with one or more microphones, are commonly used for speech communication. Here, we consider the scenario where a hearable is used to capture the user's o…
Speech-dependent Data Augmentation for Own Voice Reconstruction with Hearable Microphones in Noisy Environments
Mattes Ohlenbusch, Christian Rollwage, Simon Doclo
Own voice pickup for hearables in noisy environments benefits from using both an outer and an in-ear microphone outside and inside the occluded ear. Due to environmental noise reco…
Microphone Subset Selection for the Weighted Prediction Error Algorithm using a Group Sparsity Penalty
Anselm Lohmann, Toon van Waterschoot, Joerg Bitzer +1
Reverberation can severely degrade the quality of speech signals recorded using microphones in an enclosure. In acoustic sensor networks with spatially distributed microphones, a s…
Multi-Microphone Noise Data Augmentation for DNN-based Own Voice Reconstruction for Hearables in Noisy Environments
Mattes Ohlenbusch, Christian Rollwage, Simon Doclo
Hearables with integrated microphones may offer communication benefits in noisy working environments, e.g. by transmitting the recorded own voice of the user. Systems aiming at rec…
Modeling of Speech-dependent Own Voice Transfer Characteristics for Hearables with In-ear Microphones
Mattes Ohlenbusch, Christian Rollwage, Simon Doclo
Many hearables contain an in-ear microphone, which may be used to capture the own voice of its user. However, due to the hearable occluding the ear canal, the in-ear microphone mos…
Speech-dependent Modeling of Own Voice Transfer Characteristics for In-ear Microphones in Hearables
Mattes Ohlenbusch, Christian Rollwage, Simon Doclo
Many hearables contain an in-ear microphone, which may be used to capture the own voice of its user in noisy environments. Since the in-ear microphone mostly records body-conducted…
Exploiting an External Microphone for Binaural RTF-Vector-Based Direction of Arrival Estimation for Multiple Speakers
Daniel Fejgin, Simon Doclo
In hearing aid applications, an important objective is to accurately estimate the direction of arrival (DOA) of multiple speakers in noisy and reverberant environments. Recently, w…
Dereverberation in Acoustic Sensor Networks Using Weighted Prediction Error With Microphone-dependent Prediction Delays
Anselm Lohmann, Toon van Waterschoot, Joerg Bitzer +1
In the last decades several multi-microphone speech dereverberation algorithms have been proposed, among which the weighted prediction error (WPE) algorithm. In the WPE algorithm,…
Modelling Residential Supply Tasks Based on Digital Orthophotography Using Machine Learning
Klemens Schumann, Luis Böttcher, Philipp Hälsig +2
In order to achieve the climate targets, electrification of individual mobility is essential. However, grid integration of electrical vehicles poses challenges for the electrical d…
Environment Classification via Blind Roomprints Estimation
Malte Baum, Luca Cuccovillo, Artem Yaroshchuk +1
In this paper we present a novel approach for environment classification for speech recordings, which does not require the selection of decaying reverberation tails. It is based on…
Open Challenges in Synthetic Speech Detection
Luca Cuccovillo, Christoforos Papastergiopoulos, Anastasios Vafeiadis +4
In this paper the current status and open challenges of synthetic speech detection are addressed. The work comprises an initial analysis of available open datasets and of existing…
Speaker-Independent Microphone Identification in Noisy Conditions
Antonio Giganti, Luca Cuccovillo, Paolo Bestagini +2
This work proposes a method for source device identification from speech recordings that applies neural-network-based denoising, to mitigate the impact of counter-forensics attacks…
Training Strategies for Own Voice Reconstruction in Hearing Protection Devices using an In-ear Microphone
Mattes Ohlenbusch, Christian Rollwage, Simon Doclo
In-ear microphones in hearing protection devices can be utilized to capture the own voice speech of the person wearing the devices in noisy environments. Since in-ear recordings of…
Designing Trustworthy User Interfaces for the Voluntary Carbon Market: A Randomized Online Experiment
Klaudia Guzij, Michael Fröhlich, Florian Fincke +2
The voluntary carbon market is an important building block in the fight against climate change. However, it is not trivial for consumers to verify whether carbon offset projects de…
Blockchain and Cryptocurrency in Human Computer Interaction: A Systematic Literature Review and Research Agenda
Michael Fröhlich, Franz Waltenberger, Ludwig Trotter +2
We present a systematic literature review of cryptocurrency and blockchain research in Human-Computer Interaction (HCI) published between 2014 and 2021. We aim to provide an overvi…
Spectral Denoising for Microphone Classification
L. Cuccovillo, A. Giganti, P. Bestagini +2
In this paper, we propose the use of denoising for microphone classification, to enable its usage for several key application domains that involve noisy conditions. We describe the…
Speaker-conditioned Target Speaker Extraction based on Customized LSTM Cells
Ragini Sinha, Marvin Tammen, Christian Rollwage +1
Speaker-conditioned target speaker extraction systems rely on auxiliary information about the target speaker to extract the target speaker signal from a mixture of multiple speaker…
Unsupervised Interpretable Representation Learning for Singing Voice Separation
Stylianos I. Mimilakis, Konstantinos Drossos, Gerald Schuller
In this work, we present a method for learning interpretable music signal representations directly from waveform signals. Our method can be trained using unsupervised objectives an…
An Overview of Lead and Accompaniment Separation in Music
Zafar Rafii, Antoine Liutkus, Fabian-Robert Stöter +3
Popular music is often composed of an accompaniment and a lead component, the latter typically consisting of vocals. Filtering such mixtures to extract one or both components has m…
Electric-field induced phase transitions in rhombohedral PZN-xPT
B. Noheda, Z. Zhong, D. E. Cox +3
High-energy x-ray diffraction experiments peformed on rhombohedral (1-x)Pb(Zn1/3Nb2/3)O3-xPbTiO3(PZN-xPT) crystals with x= 4.5 and 8% show that an electric field applied along the…