# Parliament scenario optimization

A fine-tuned Basque automatic speech recognition model based on facebook/wav2vec2-xls-r-300m, achieving a 3.67% word error rate on the Basque Parliament dataset

This is an automatic speech recognition system for Croatian, based on a Slavic language pre-trained model, specifically optimized for parliamentary speech scenarios

A Danish automatic speech recognition model fine-tuned on Danish parliamentary speech dataset based on facebook/wav2vec2-xls-r-300m

An acoustic model fine-tuned for Finnish automatic speech recognition based on facebook/wav2vec2-xls-r-300m, trained with 275.6 hours of annotated Finnish speech data

A fine-tuned version of Facebook's wav2vec2-xls-r-1b model for Finnish automatic speech recognition (ASR), trained with 259.57 hours of annotated Finnish speech data