1.5k citations
- Centre National de la Recherche ScientifiqueFR104 papers
- Institute for Chemistry and Biology of the Marine EnvironmentDE47 papers
- Hearing4allDE46 papers
- University of BremenDE45 papers
- Universidad Complutense de MadridES43 papers
- Université Paris-SudFR42 papers
- University of WürzburgDE42 papers
- Laboratoire Charles FabryFR37 papers
- Université Paris-SaclayFR36 papers
- University of AveiroPT34 papers
- Humboldt-Universität zu BerlinDE30 papers
- National Academy of Sciences of the Republic of KyrgyzstanKG28 papers
42 papers · 1 filter
Multi-Source Position and Direction-of-Arrival Estimation Based on Euclidean Distance Matrices
Klaus Brümann, Simon Doclo
A popular method to estimate the positions or directions-of-arrival (DOAs) of multiple sound sources using an array of microphones is based on steered-response power (SRP) beamform…
Binaural Speech Enhancement Using Complex Convolutional Recurrent Networks
Vikas Tokala, Eric Grinstein, Mike Brookes +3
From hearing aids to augmented and virtual reality devices, binaural speech enhancement algorithms have been established as state-of-the-art techniques to improve speech intelligib…
Neural Kalman Filters for Acoustic Echo Cancellation
Ernst Seidel, Gerald Enzner, Pejman Mowlaee +1
Kalman filtering is a powerful approach to adaptive filtering for various problems in signal processing. The frequency-domain adaptive Kalman filter (FDKF), based on the concept of…
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…
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…