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Anselm Lohmann

3 accepted papers

2026

REFERENCE MICROPHONE SELECTION FOR GUIDED SOURCE SEPARATION BASED ON THE NORMALIZED L-P NORM

ICASSP 2026poster

Guided Source Separation (GSS) is a popular front-end for distant automatic speech recognition (ASR) systems using spatially distributed microphones. When considering spatially distributed microphones, the choice of reference microphone may have a large influence on the quality of the output signal…

Cited by 0SourcePDFScholar
2024

Microphone Subset Selection for the Weighted Prediction Error Algorithm Using a Group Sparsity Penalty

ICASSP 2024accepted

Reverberation can severely degrade the quality of speech signals recorded using microphones in an enclosure. In acoustic sensor networks with spatially distributed microphones, a similar dereverberation performance may be achieved using only a subset of all available microphones. Using the popular c…

Cited by 0SourceScholar
2023

Dereverberation in Acoustic Sensor Networks Using weighted Prediction Error with Microphone-Dependent Prediction Delays

ICASSP 2023accepted

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, a prediction delay is required to reduce the correlation between the prediction signals and the direct component in the…

Cited by 5SourceScholar