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Czech is a very specific language due to its large differences between theformal and the colloquial form of speech. While the formal (written) form isused mainly in official documents, literature, and public speeches, thecolloquial (spoken) form is used widely among people in casual speeches. Thisgap introduces serious problems for ASR systems, especially when training orevaluating ASR models on datasets containing a lot of colloquial speech, suchas the MALACH project. In this paper, we are addressing this problem in thelight of a new paradigm in end-to-end ASR systems -- recently introducedself-supervised audio Transformers. Specifically, we are investigating theinfluence of colloquial speech on the performance of Wav2Vec 2.0 models andtheir ability to transcribe colloquial speech directly into formal transcripts.We are presenting results with both formal and colloquial forms in the trainingtranscripts, language models, and evaluation transcripts.

Transformer-based Automatic Speech Recognition of Formal and Colloquial Czech in MALACH Project