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pro vyhledávání: '"Landwehr P"'
We propose an approach for simultaneous diarization and separation of meeting data. It consists of a complex Angular Central Gaussian Mixture Model (cACGMM) for speech source separation, and a von-Mises-Fisher Mixture Model (VMFMM) for diarization in
Externí odkaz:
http://arxiv.org/abs/2410.21455
Diarization is a crucial component in meeting transcription systems to ease the challenges of speech enhancement and attribute the transcriptions to the correct speaker. Particularly in the presence of overlapping or noisy speech, these systems have
Externí odkaz:
http://arxiv.org/abs/2406.03155
Autor:
Bdeir, Ahmad, Landwehr, Niels
Hyperbolic deep learning has become a growing research direction in computer vision for the unique properties afforded by the alternate embedding space. The negative curvature and exponentially growing distance metric provide a natural framework for
Externí odkaz:
http://arxiv.org/abs/2405.13979
Autor:
Cord-Landwehr, Tobias, Boeddeker, Christoph, Zorilă, Cătălin, Doddipatla, Rama, Haeb-Umbach, Reinhold
We propose a modified teacher-student training for the extraction of frame-wise speaker embeddings that allows for an effective diarization of meeting scenarios containing partially overlapping speech. To this end, a geodesic distance loss is used th
Externí odkaz:
http://arxiv.org/abs/2401.03963
Publikováno v:
Innovative Surgical Sciences, Vol 2, Iss 2, Pp 89-95 (2017)
Patients with a rectal foreign body (RFB) are still a rare entity in general surgery departments but with an increasing incidence over the last years. This case is sometimes difficult to treat, and due to a lack of standardized treatment options, the
Externí odkaz:
https://doaj.org/article/6a7ca0618f5d4ea484e4724672daded1
Autor:
Martin Wikelski, Michael Quetting, John Bates, Tanya Berger‐Wolf, Gil Bohrer, Luca Börger, Taylor Chapple, Margaret C. Crofoot, Sarah C. Davidson, Dina K. N. Dechmann, Diego Ellis‐Soto, Elizabeth R. Ellwood, Wolfgang Fiedler, Andrea Flack, Barbara Fruth, Novella Franconi, Rasmus Worsøe Havmøller, Julian Hirt, Nigel E. Hussey, Fabiola Iannarilli, Matthias Landwehr, Maximilian E. Müller, Thomas Mueller, Uschi Mueller, Ruth Y. Oliver, Jesko Partecke, Ivan Pokrovsky, Liya Pokrovskaya, Dustin R. Rubenstein, Christian Rutz, Kamran Safi, Andrea Santangeli, O. Louis vanSchalkwyk, Ana M. M. Sequeira, Sherub Sherub, Tharmalingam Ramesh, Pauli Viljoen, Kaja A. Wasik, Timm A. Wild, Scott Yanco, Roland Kays
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 10, Pp 1777-1788 (2024)
Abstract Over the past five decades, a large number of wild animals have been individually identified by various observation systems and/or temporary tracking methods, providing unparalleled insights into their lives over both time and space. However
Externí odkaz:
https://doaj.org/article/9c81e07776fb4f85b7c45ef53f273f58
Autor:
von Neumann, Thilo, Boeddeker, Christoph, Cord-Landwehr, Tobias, Delcroix, Marc, Haeb-Umbach, Reinhold
We propose a modular pipeline for the single-channel separation, recognition, and diarization of meeting-style recordings and evaluate it on the Libri-CSS dataset. Using a Continuous Speech Separation (CSS) system with a TF-GridNet separation archite
Externí odkaz:
http://arxiv.org/abs/2309.16482
Autor:
Cord-Landwehr, Tobias, Boeddeker, Christoph, Zorilă, Cătălin, Doddipatla, Rama, Haeb-Umbach, Reinhold
We introduce a monaural neural speaker embeddings extractor that computes an embedding for each speaker present in a speech mixture. To allow for supervised training, a teacher-student approach is employed: the teacher computes the target embeddings
Externí odkaz:
http://arxiv.org/abs/2306.00634
Autor:
Cord-Landwehr, Tobias, Boeddeker, Christoph, Zorilă, Cătălin, Doddipatla, Rama, Haeb-Umbach, Reinhold
Using a Teacher-Student training approach we developed a speaker embedding extraction system that outputs embeddings at frame rate. Given this high temporal resolution and the fact that the student produces sensible speaker embeddings even for segmen
Externí odkaz:
http://arxiv.org/abs/2306.00625
Autor:
Margareta J. Hellmann, Dominique Gillet, Stéphane Trombotto, Sonja Raetz, Bruno M. Moerschbacher, Stefan Cord-Landwehr
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Chitosans are promising biopolymers for diverse applications, with material properties and bioactivities depending i.a. on their pattern of acetylation (PA). Commercial chitosans are typically produced by heterogeneous deacetylation of chiti
Externí odkaz:
https://doaj.org/article/3cd0b9d05c9242589ab7c5e1bb19bf36