|
--- |
|
language: |
|
- da |
|
license: apache-2.0 |
|
tasks: |
|
- automatic-speech-recognition |
|
datasets: |
|
- common_voice_8_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: wav2vec2-xls-r-300m-cv8-da |
|
results: |
|
- task: |
|
type: automatic-speech-recognition |
|
dataset: |
|
type: mozilla-foundation/common_voice_8_0 |
|
args: da |
|
name: Danish Common Voice 8.0 |
|
metrics: |
|
- type: wer |
|
value: 26.45 |
|
- task: |
|
type: automatic-speech-recognition |
|
dataset: |
|
type: Alvenir/alvenir_asr_da_eval |
|
name: Alvenir ASR test dataset |
|
metrics: |
|
- type: wer |
|
value: 25.80 |
|
--- |
|
|
|
# XLS-R-300m-CV8-da |
|
|
|
## Model description |
|
|
|
This model is a fine-tuned version of the multilingual acoustic model [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) 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) | 31.33 | 26.45 | |
|
| [Alvenir test set](https://huggingface.co/datasets/Alvenir/alvenir_asr_da_eval) | 30.54 | 25.80 | |
