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pro vyhledávání: '"Tammen, Marvin"'
Autor:
Tammen, Marvin, Ochiai, Tsubasa, Delcroix, Marc, Nakatani, Tomohiro, Araki, Shoko, Doclo, Simon
Although mask-based beamforming is a powerful speech enhancement approach, it often requires manual parameter tuning to handle moving speakers. Recently, this approach was augmented with an attention-based spatial covariance matrix aggregator (ASA) m
Externí odkaz:
http://arxiv.org/abs/2402.03058
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 consider a complete time-domain target speaker extraction system consisti
Externí odkaz:
http://arxiv.org/abs/2205.13851
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 using acoustic microphones tends to substantially degrade in extremel
Externí odkaz:
http://arxiv.org/abs/2205.09017
Autor:
Tammen, Marvin, Doclo, Simon
To improve speech intelligibility and speech quality in noisy environments, binaural noise reduction algorithms for head-mounted assistive listening devices are of crucial importance. Several binaural noise reduction algorithms such as the well-known
Externí odkaz:
http://arxiv.org/abs/2205.08983
Recently, the convolutional weighted power minimization distortionless response (WPD) beamformer was proposed, which unifies multi-channel weighted prediction error dereverberation and minimum power distortionless response beamforming. To optimize th
Externí odkaz:
http://arxiv.org/abs/2106.01902
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 speakers. Typically, a deep neural network is applied to isolate the relevant
Externí odkaz:
http://arxiv.org/abs/2104.04234
Autor:
Tammen, Marvin, Doclo, Simon
Multi-frame algorithms for single-microphone speech enhancement, e.g., the multi-frame minimum variance distortionless response (MFMVDR) filter, are able to exploit speech correlation across adjacent time frames in the short-time Fourier transform (S
Externí odkaz:
http://arxiv.org/abs/2011.10345
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 approach
Externí odkaz:
http://arxiv.org/abs/1905.08492
Akademický článek
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Publikováno v:
Berlin, Germany : Deutsche Gesellschaft für Akustik (2019). doi:10.18154/RWTH-CONV-239647
Proceedings of the 23rd International Congress on Acoustics : integrating 4th EAA Euroregio 2019 : 9-13 September 2019 in Aachen, Germany / proceedings editors: Martin Ochmann, Michael Vorländer, Janina Fels
Proceedings of the 23rd International Congress on Acoustics : integrating 4th EAA Euroregio 2019 : 9-13 September 2019 in Aachen, Germany / proceedings editors: Martin Ochmann, Michael Vorländer, Janina Fels23. International Congress on Acoustics, ICA 2019, Aachen, Germany, 2019-09-09-2019-09-13
Proceedings of the 23rd International Congress on Acoustics : integrating 4th EAA Euroregio 2019 : 9-13 September 2019 in Aachen, Germany / proceedings editors: Martin Ochmann, Michael Vorländer, Janina Fels
Proceedings of the 23rd International Congress on Acoustics : integrating 4th EAA Euroregio 2019 : 9-13 September 2019 in Aachen, Germany / proceedings editors: Martin Ochmann, Michael Vorländer, Janina Fels23. International Congress on Acoustics, ICA 2019, Aachen, Germany, 2019-09-09-2019-09-13
Proceedings of the ICA 2019 and EAA Euroregio : 23rd International Congress on Acoustics, integrating 4th EAA Euroregio 2019 : 9-13 September 2019, Aachen, Germany / proceedings editor: Martin Ochmann, Michael Vorländer, Janina Fels 23rd Internation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0db2b21e3cf4a31ee2e4ae3eb955530
https://publications.rwth-aachen.de/record/770058
https://publications.rwth-aachen.de/record/770058