wav2vec2 base da ft nst This the alvenir wav2vec2 model for Danish ASR finetuned by Alvenir on the public NST dataset. The model is trained on 16kHz, so make sure your data is the same sample rate. The model was trained using fairseq and then converted to huggingface/transformers format. Alvenir is always happy to help with your own open source ASR projects, customized domain specializations or premium models. ; ) Usage Benchmark results This is some benchmark results on the public available datasets in Danish. Dataset WER Greedy WER with 3 gram Language Model NST test 15,8% 11.9% alvenir asr da eval 19.0% 12.1% common voice 80 da test 26,3% 19,2%
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy