Zobrazeno 1 - 10
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pro vyhledávání: '"Rasmussen, Morten A"'
Data fusion models based on Coupled Matrix and Tensor Factorizations (CMTF) have been effective tools for joint analysis of data from multiple sources. While the vast majority of CMTF models are based on the strictly multilinear CANDECOMP/PARAFAC (CP
Externí odkaz:
http://arxiv.org/abs/2406.12338
This paper focuses on leveraging deep representation learning (DRL) for speech enhancement (SE). In general, the performance of the deep neural network (DNN) is heavily dependent on the learning of data representation. However, the DRL's importance i
Externí odkaz:
http://arxiv.org/abs/2211.09166
In previous work, we proposed a variational autoencoder-based (VAE) Bayesian permutation training speech enhancement (SE) method (PVAE) which indicated that the SE performance of the traditional deep neural network-based (DNN) method could be improve
Externí odkaz:
http://arxiv.org/abs/2205.05581
Autor:
Christiansen, Lasse Engbo, Gubbels, Sophie, Trebbien, Ramona, Westergaard, Casper, Escobar-Herrera, Leandro Andrés, Gunalan, Vithiagaran, Ring, Aleksander, Bennedbæk, Marc, Steenhard, Nina, Mørk Hartmann, Esben, Nielsen, Lene, Terp Andersen, Dorte, Thomsen, Marianne Kragh, Marmolin, Ea Sofie, Vognbjerg Sydenham, Thomas, Hoegh, Silje Vermedal, Pinholt, Mette, Møller, Josefine Tange, Vasehus Madsen, Tina, Fuglsang-Damgaard, David, Jokelainen, Pikka, Krause, Tyra Grove, Ullum, Henrik, Søborg, Bolette, Valentiner-Branth, Palle, Moustsen-Helms, Ida Rask, Bager, Peter, Larsen, Tine Graakjær, Møller, Frederik Trier, Vestergaard, Lasse Skafte, Rasmussen, Morten, Hansen, Christian Holm *
Publikováno v:
In The Lancet Infectious Diseases September 2024 24(9):964-973
Autor:
Chen, Liang, Brustad, Nicklas, Kim, Min, Luo, Yang, Wang, Tingting, Ali, Mina, Prince, Nicole, Chen, Yulu, Chu, Su, Begum, Sofina, Mendez, Kevin, Kelly, Rachel S., Schoos, Ann-Marie, Rasmussen, Morten A., Zurita, Javier, Kolmert, Johan, Stokholm, Jakob, Litonjua, Augusto, Weiss, Scott T., Bønnelykke, Klaus, Wheelock, Craig E., Lasky-Su, Jessica, Chawes, Bo
Publikováno v:
In The Journal of Allergy and Clinical Immunology September 2024 154(3):670-678
Recently, variational autoencoder (VAE), a deep representation learning (DRL) model, has been used to perform speech enhancement (SE). However, to the best of our knowledge, current VAE-based SE methods only apply VAE to the model speech signal, whil
Externí odkaz:
http://arxiv.org/abs/2201.09875
Autor:
Spiess, Katja, Petrillo, Mauro, Paracchini, Valentina, Leoni, Gabriele, Lassaunière, Ria, Polacek, Charlotta, Marving, Ellinor Lindberg, Larsen, Nicolai Balle, Gunalan, Vithiagaran, Ring, Aleksander, Bull, Maireid, Buttinger, Gerhard, Veneri, Carolina, Suffredini, Elisabetta, La Rosa, Giuseppina, Corbisier, Philippe, Querci, Maddalena, Rasmussen, Morten, Marchini, Antonio
Publikováno v:
In Science of the Total Environment 1 December 2024 954
Publikováno v:
In Clinics in Perinatology June 2024 51(2):379-389
Publikováno v:
In Energy 1 June 2024 296
Autor:
Tang, Man-Hung Eric, Bennedbaek, Marc, Gunalan, Vithiagaran, Qvesel, Amanda Gammelby, Thorsen, Theis Hass, Larsen, Nicolai Balle, Rasmussen, Lasse Dam, Krogsgaard, Lene Wulff, Rasmussen, Morten, Stegger, Marc, Alexandersen, Soren
Publikováno v:
In Heliyon 15 May 2024 10(9)