
# KBLab-VoxRex-Wav2vec2-large-CV8-da

## Model description

This model is a fine-tuned version of the Swedish acoustic model [KBLab/wav2vec2-large-voxrex](https://huggingface.co/KBLab/wav2vec2-large-voxrex) on the Danish part of [Common Voice 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0), containing ~6 crowdsourced hours of read-aloud Danish speech.


## Performance

The model achieves the following WER scores (lower is better):

| **Dataset** | **WER without LM** | **WER with 5-gram LM** |
| :---:   | ---: | ---: |
| [Danish part of Common Voice 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0/viewer/da/train) | 37.63 | 30.51 |
| [Alvenir test set](https://huggingface.co/datasets/Alvenir/alvenir_asr_da_eval) | 35.75 | 28.33 |
{"language": ["da"], "license": "cc0-1.0", "datasets": ["common_voice_8_0"], "metrics": ["wer"], "tasks": ["automatic-speech-recognition"], "model-index": [{"name": "kblab-voxrex-wav2vec2-large-cv8-da", "results": [{"task": {"type": "automatic-speech-recognition"}, "dataset": {"name": "Danish Common Voice 8.0", "type": "mozilla-foundation/common_voice_8_0", "args": "da"}, "metrics": [{"type": "wer", "value": 30.51}]}, {"task": {"type": "automatic-speech-recognition"}, "dataset": {"name": "Alvenir ASR test dataset", "type": "Alvenir/alvenir_asr_da_eval"}, "metrics": [{"type": "wer", "value": 28.33}]}]}]}
transformers pytorch wav2vec2 automatic-speech-recognition da dataset:common_voice_8_0 license:cc0-1.0 model-index endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #da #dataset-common_voice_8_0 #license-cc0-1.0 #model-index #endpoints_compatible #region-us 

KBLab-VoxRex-Wav2vec2-large-CV8-da
==================================


Model description
-----------------


This model is a fine-tuned version of the Swedish acoustic model KBLab/wav2vec2-large-voxrex on the Danish part of Common Voice 8.0, containing ~6 crowdsourced hours of read-aloud Danish speech.


## Performance


The model achieves the following WER scores (lower is better):




TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #da #dataset-common_voice_8_0 #license-cc0-1.0 #model-index #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #da #dataset-common_voice_8_0 #license-cc0-1.0 #model-index #endpoints_compatible #region-us 
