%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Khosravani_INTERSPEECH_2021,
                      author = {Khosravani, Abbas and Garner, Philip N. and Lazaridis, Alexandros},
                    projects = {Idiap},
                       month = aug,
                       title = {Modeling Dialectal Variation for Swiss German Automatic Speech Recognition},
                   booktitle = {Proceedings of Interspeech},
                        year = {2021},
                         doi = {10.21437/Interspeech.2021-1735},
                    abstract = {We describe a speech recognition system for Swiss German, a dialectal spoken language in German-speaking Switzerland. Swiss German has no standard orthography, with a significant variation in its written form. To alleviate the uncertainty associated with this variability, we automatically generate a lexicon from which multiple written forms of a given word in any dialect can be generated. The lexicon is built from a small (incomplete) handcrafted lexicon designed by linguistic experts and contains forms of common words in various Swiss German dialects.
We exploit the powerful speech representation of self-supervised acoustic pre-training (wav2vec) to address the low-resource nature of the spoken dialects. The proposed approach results in an overall relative improvement of $9\%$ word error rate compared to one based on an expert-generated lexicon for our TV Box voice assistant application.},
                         pdf = {https://publications.idiap.ch/attachments/papers/2022/Khosravani_INTERSPEECH_2021.pdf}
}