Yanick Schraner

According to our database, Yanick Schraner authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dialect Transfer for Swiss German Speech Translation.

Claudio Paonessa, Yanick Schraner, Jan Deriu, Manuela Hürlimann, Manfred Vogel, Mark Cieliebak

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions.

Michel Plüss, Jan Deriu, Yanick Schraner, Claudio Paonessa, Julia Hartmann, Larissa Schmidt, Christian Scheller, Manuela Hürlimann, Tanja Samardzic, Manfred Vogel, Mark Cieliebak

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Teacher-student curriculum learning for reinforcement learning.

Yanick Schraner

CoRR, 2022

Swiss German Speech to Text system evaluation.

Yanick Schraner, Christian Scheller, Michel Plüss, Manfred Vogel

CoRR, 2022

2nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022.

Michel Plüss, Yanick Schraner, Christian Scheller, Manfred Vogel

Proceedings of the Swiss Text Analytics Conference 2022, Lugano, 2022

SDS-200: A Swiss German Speech to Standard German Text Corpus.

Michel Plüss, Manuela Hürlimann, Marc Cuny, Alla Stöckli, Nikolaos Kapotis, Julia Hartmann, Malgorzata Anna Ulasik, Christian Scheller, Yanick Schraner, Amit Jain, Jan Deriu, Mark Cieliebak, Manfred Vogel

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Comparison of Unsupervised Learning and Supervised Learning with Noisy Labels for Low-Resource Speech Recognition.

Yanick Schraner, Christian Scheller, Michel Plüss, Lukas Neukom, Manfred Vogel

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Towards robust and domain agnostic reinforcement learning competitions.

William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada P. Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute

CoRR, 2021

Distilling Reinforcement Learning Tricks for Video Games.

Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020.

William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada P. Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2019

Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft.

Christian Scheller, Yanick Schraner, Manfred Vogel

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019