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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.
Text-to-Speech Pipeline for Swiss German -- A comparison
In this work, we studied the synthesis of Swiss German speech using different Text-to-Speech (TTS) models.
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)
+5
Improving Metrics for Speech Translation
We introduce Parallel Paraphrasing ($\text{Para}_\text{both}$), an augmentation method for translation metrics making use of automatic paraphrasing of both the reference and hypothesis.
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.
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.
Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpus
We present the Swiss Parliaments Corpus (SPC), an automatically aligned Swiss German speech to Standard German text corpus.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
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.
