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Marvin Tammen

4 accepted papers

2020

DNN-Based Speech Presence Probability Estimation for Multi-Frame Single-Microphone Speech Enhancement

ICASSP 2020accepted

Multi-frame approaches for single-microphone speech enhancement, e.g., the multi-frame minimum-power-distortionless-response (MFMPDR) filter, are able to exploit speech correlations across neighboring time frames. In contrast to single-frame approaches such as the Wiener gain, it has been shown that…

Cited by 0SourceScholar
2019

Joint Estimation of RETF Vector and Power Spectral Densities for Speech Enhancement Based on Alternating Least Squares

ICASSP 2019accepted

The multi-channel Wiener filter (MWF) is a well-known multi-microphone speech enhancement technique, aiming at improving the quality of the recorded speech signals in noisy and reverberant environments. Assuming that reverberation and ambient noise can be modeled as a diffuse sound field and the spa…

Cited by 0SourceScholar
2018

Complexity Reduction of Eigenvalue Decomposition-Based Diffuse Power Spectral Density Estimators Using the Power Method

ICASSP 2018accepted

In noisy and reverberant environments speech enhancement techniques such as the multi-channel Wiener filter (MWF) can be used to improve speech quality and intelligibility. Assuming that reverberation and ambient noise can be modeled as diffuse sound fields, such techniques require an estimate of th…

Cited by 0SourceScholar