23 citations · 65 across the 8 of their papers we have counts for
8 papers · 1 filter
Array Geometry-Robust Attention-Based Neural Beamformer for Moving Speakers
Marvin Tammen, Tsubasa Ochiai, Marc Delcroix +3
Although mask-based beamforming is a powerful speech enhancement approach, it often requires manual parameter tuning to handle moving speakers. Recently, this approach was augmente…
Speaker-conditioning Single-channel Target Speaker Extraction using Conformer-based Architectures
Ragini Sinha, Marvin Tammen, Christian Rollwage +1
Target speaker extraction aims at extracting the target speaker from a mixture of multiple speakers exploiting auxiliary information about the target speaker. In this paper, we con…
Dictionary-Based Fusion of Contact and Acoustic Microphones for Wind Noise Reduction
Marvin Tammen, Xilin Li, Simon Doclo +1
In mobile speech communication applications, wind noise can lead to a severe reduction of speech quality and intelligibility. Since the performance of speech enhancement algorithms…
Deep Multi-Frame MVDR Filtering for Binaural Noise Reduction
Marvin Tammen, Simon Doclo
To improve speech intelligibility and speech quality in noisy environments, binaural noise reduction algorithms for head-mounted assistive listening devices are of crucial importan…
Joint Multi-Channel Dereverberation and Noise Reduction Using a Unified Convolutional Beamformer With Sparse Priors
Henri Gode, Marvin Tammen, Simon Doclo
Recently, the convolutional weighted power minimization distortionless response (WPD) beamformer was proposed, which unifies multi-channel weighted prediction error dereverberation…
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…
Deep Multi-Frame MVDR Filtering for Single-Microphone Speech Enhancement
Marvin Tammen, Simon Doclo
Multi-frame algorithms for single-microphone speech enhancement, e.g., the multi-frame minimum variance distortionless response (MFMVDR) filter, are able to exploit speech correlat…
DNN-Based Speech Presence Probability Estimation for Multi-Frame Single-Microphone Speech Enhancement
Marvin Tammen, Dörte Fischer, Bernd T. Meyer +1
Multi-frame approaches for single-microphone speech enhancement, e.g., the multi-frame minimum-power-distortionless-response (MFMPDR) filter, are able to exploit speech correlation…