Automatic Speech Recognition for Belarusian language Fine tuned version of facebook/wav2vec2 base on mozilla foundation/common voice 8 0 be dataset. Train , Dev , Test splits were used as they are present in the dataset. No additional data was used from Validated split, only 1 voicing of each sentence was used the way the data was split by CommonVoice CorporaCreator. To build a better model one can use additional voicings from Validated split for sentences already present in Train , Dev , Test splits, i.e. enlarge mentioned splits. Language model was built using KenLM. 5 gram Language model was built on sentences from Train + (Other Dev Test) splits of mozilla foundation/common voice 8 0 be dataset. Source code is available here. Run model in a browser This page contains interactive demo widget that lets you test this model right in a browser. However, this widget uses Acoustic model only without Language model that significantly improves overall performance. You can play with full pipeline of Acoustic model + Language model on the following spaces page (also works from browser).
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