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Found 9 papers, 4 papers with code
Dialect Transfer for Swiss German Speech Translation
This paper investigates the challenges in building Swiss German speech translation systems, specifically focusing on the impact of dialect diversity and differences between Swiss German and Standard German.
STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions
We train an ASR model on the training set and achieve an average BLEU score of 74. 7 on the test set.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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2nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022
We present the results and findings of the 2nd Swiss German speech to Standard German text shared task at SwissText 2022.
Teacher-student curriculum learning for reinforcement learning
With our method, we can improve the sample efficiency and generality of the student compared to tabula-rasa reinforcement learning.
Swiss German Speech to Text system evaluation
We compare the four systems to our STT model, referred to as FHNW from hereon after, and provide details on how we trained our model.
SDS-200: A Swiss German Speech to Standard German Text Corpus
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.
Distilling Reinforcement Learning Tricks for Video Games
Reinforcement learning (RL) research focuses on general solutions that can be applied across different domains.
Towards robust and domain agnostic reinforcement learning competitions
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.
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft
Sample inefficiency of deep reinforcement learning methods is a major obstacle for their use in real-world applications.
