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Self-Supervised Speech Representation Learning: A Review


May 21, 2022
Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe

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Benchmarking Generative Latent Variable Models for Speech


Apr 05, 2022
Jakob D. Havtorn, Lasse Borgholt, Søren Hauberg, Jes Frellsen, Lars Maaløe

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* Accepted at the 2022 ICLR workshop on Deep Generative Models for Highly Structured Data (https://deep-gen-struct.github.io

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Model-agnostic out-of-distribution detection using combined statistical tests


Mar 02, 2022
Federico Bergamin, Pierre-Alexandre Mattei, Jakob D. Havtorn, Hugo Senetaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen

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* Accepted at the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022 

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Hierarchical VAEs Know What They Don't Know


Mar 01, 2021
Jakob D. Havtorn, Jes Frellsen, Søren Hauberg, Lars Maaløe

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* 18 pages, source code available at https://github.com/vlievin/biva-pytorch and https://github.com/larsmaaloee/BIVA 

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MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech


May 12, 2020
Jakob D. Havtorn, Jan Latko, Joakim Edin, Lasse Borgholt, Lars Maaløe, Lorenzo Belgrano, Nicolai F. Jacobsen, Regitze Sdun, Željko Agić

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* Accepted at ACL 2020 

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