wav2vec2-cv-be

Fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/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](https://github.com/common-voice/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](https://kheafield.com/code/kenlm/estimation/). 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](https://github.com/yks72p/stt_be). 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](https://huggingface.co/spaces/ales/wav2vec2-cv-be-lm) (also works from browser).