45 citations
- Carl von Ossietzky Universität OldenburgDE46 papers
- Fraunhofer Institute for Digital Media TechnologyDE9 papers
- KU LeuvenBE5 papers
- Aalborg UniversityDK4 papers
- Jade University of Applied SciencesDE4 papers
- Klinikum OldenburgDE4 papers
- University of SouthamptonGB2 papers
- Bang & Olufsen (Denmark)DK1 paper
- Bar-Ilan UniversityIL1 paper
- Christian-Albrechts-Universität zu KielDE1 paper
- Frankfurt Institute for Advanced StudiesDE1 paper
- Goethe University FrankfurtDE1 paper
41 papers · 1 filter
Room compensation for loudspeaker reproduction using a supporting source
James Brooks-Park, Søren Bech, Jan Østergaard +1
Room compensation aims to improve the accuracy of loudspeaker reproduction in reverberant environments. Traditional methods, however, are limited to improving only spectral (timbra…
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 Steered Response Power Method for Sound Source Localization With Generic Acoustic Models
Kaspar Müller, Markus Buck, Simon Doclo +2
The steered response power (SRP) method is one of the most popular approaches for acoustic source localization with microphone arrays. It is often based on simplifying acoustic ass…
Completing Sets of Prototype Transfer Functions for Subspace-based Direction of Arrival Estimation of Multiple Speakers
Daniel Fejgin, Simon Doclo
To estimate the direction of arrival (DOA) of multiple speakers, subspace-based prototype transfer function matching methods such as multiple signal classification (MUSIC) or relat…
Real-time multichannel deep speech enhancement in hearing aids: Comparing monaural and binaural processing in complex acoustic scenarios
Nils L. Westhausen, Hendrik Kayser, Theresa Jansen +1
Deep learning has the potential to enhance speech signals and increase their intelligibility for users of hearing aids. Deep models suited for real-world application should feature…
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…