9 citations · 16 across the 7 of their papers we have counts for
9 papers
Dialect Transfer for Swiss German Speech Translation
Claudio Paonessa, Yanick Schraner, Jan Deriu +3
This paper investigates the challenges in building Swiss German speech translation systems, specifically focusing on the impact of dialect diversity and differences between Swiss G…
STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions
Michel Plüss, Jan Deriu, Yanick Schraner +8
We present STT4SG-350 (Speech-to-Text for Swiss German), a corpus of Swiss German speech, annotated with Standard German text at the sentence level. The data is collected using a w…
2nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022
Michel Plüss, Yanick Schraner, Christian Scheller +1
We present the results and findings of the 2nd Swiss German speech to Standard German text shared task at SwissText 2022. Participants were asked to build a sentence-level Swiss Ge…
Teacher-student curriculum learning for reinforcement learning
Yanick Schraner
Reinforcement learning (rl) is a popular paradigm for sequential decision making problems. The past decade's advances in rl have led to breakthroughs in many challenging domains su…
Swiss German Speech to Text system evaluation
Yanick Schraner, Christian Scheller, Michel Plüss +1
We present an in-depth evaluation of four commercially available Speech-to-Text (STT) systems for Swiss German. The systems are anonymized and referred to as system a-d in this rep…
SDS-200: A Swiss German Speech to Standard German Text Corpus
Michel Plüss, Manuela Hürlimann, Marc Cuny +10
We present SDS-200, a corpus of Swiss German dialectal speech with Standard German text translations, annotated with dialect, age, and gender information of the speakers. The datas…
Distilling Reinforcement Learning Tricks for Video Games
Anssi Kanervisto, Christian Scheller, Yanick Schraner +1
Reinforcement learning (RL) research focuses on general solutions that can be applied across different domains. This results in methods that RL practitioners can use in almost any…
Towards robust and domain agnostic reinforcement learning competitions
William Hebgen Guss, Stephanie Milani, Nicholay Topin +26
Reinforcement learning competitions have formed the basis for standard research benchmarks, galvanized advances in the state-of-the-art, and shaped the direction of the field. Desp…
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft
Christian Scheller, Yanick Schraner, Manfred Vogel
Sample inefficiency of deep reinforcement learning methods is a major obstacle for their use in real-world applications. In this work, we show how human demonstrations can improve…