# XLS-R-1B-ITALIAN-DOC4LM-5GRAM

## Fine-tuned XLS-R 1B model for speech recognition in Italian

Fine-tuned [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on Italian using the train and validation splits of [Common Voice 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0), [Multilingual TEDx](http://www.openslr.org/100), [Multilingual LibriSpeech](https://www.openslr.org/94/), and [Voxpopuli](https://github.com/facebookresearch/voxpopuli).

When using this model, make sure that your speech input is sampled at 16kHz.


## Language model information

Our language model was generated using a dataset of Italian wikipedia articles and manual transcriptions of radio newspapers and television programs. 


## Download CommonVoice8.0 dataset for italian language
```python
from datasets import load_dataset

dataset = load_dataset("mozilla-foundation/common_voice_8_0", "it", use_auth_token=True)
```

## Evaluation Commands

To evaluate on `mozilla-foundation/common_voice_8_0` with split `test`:

```bash
python eval.py --model_id radiogroup-crits/wav2vec2-xls-r-1b-italian-doc4lm-5gram --dataset mozilla-foundation/common_voice_8_0 --config it --split test --log_outputs --greedy

mv log_mozilla-foundation_common_voice_8_0_it_test_predictions.txt log_mozilla-foundation_common_voice_8_0_it_test_predictions_greedy.txt

mv log_mozilla-foundation_common_voice_8_0_it_test_targets.txt log_mozilla-foundation_common_voice_8_0_it_test_targets_greedy.txt

mv mozilla-foundation_common_voice_8_0_it_test_eval_results.txt mozilla-foundation_common_voice_8_0_it_test_eval_results_greedy.txt

python eval.py --model_id radiogroup-crits/wav2vec2-xls-r-1b-italian-doc4lm-5gram --dataset mozilla-foundation/common_voice_8_0 --config it --split test --log_outputs

mv log_mozilla-foundation_common_voice_8_0_it_test_predictions.txt log_mozilla-foundation_common_voice_8_0_it_test_predictions_lm.txt

mv log_mozilla-foundation_common_voice_8_0_it_test_targets.txt log_mozilla-foundation_common_voice_8_0_it_test_targets_lm.txt

mv mozilla-foundation_common_voice_8_0_it_test_eval_results.txt mozilla-foundation_common_voice_8_0_it_test_eval_results_lm.txt
```

## Citation
If you want to cite this model you can use this:

```bibtex
@misc{crits2022wav2vec2-xls-r-1b-italian-doc4lm-5gram,
  title={XLS-R Wav2Vec2 Italian by radiogroup crits},
  author={Teraoni Prioletti Raffaele, Casagranda Paolo and Russo Francesco},
  publisher={Hugging Face},
  journal={Hugging Face Hub},
  howpublished={\url{https://huggingface.co/radiogroup-crits/wav2vec2-xls-r-1b-italian-doc4lm-5gram}},
  year={2022}
}
```
{"language": ["it"], "license": "apache-2.0", "tags": ["audio", "automatic-speech-recognition", "hf-asr-leaderboard", "it", "mozilla-foundation/common_voice_8_0", "speech", "wav2vec2"], "datasets": ["mozilla-foundation/common_voice_8_0"], "metrics": ["wer", "cer"], "model-index": [{"name": "XLS-R Wav2Vec2 Italian by radiogroup crits", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Speech Recognition"}, "dataset": {"name": "Common Voice 8.0 italian", "type": "mozilla-foundation/common_voice_8_0", "args": "it"}, "metrics": [{"type": "wer", "value": 9.04, "name": "Test WER"}, {"type": "cer", "value": 2.2, "name": "Test CER"}, {"type": "wer", "value": 6.24, "name": "Test WER (+LM)"}, {"type": "cer", "value": 1.67, "name": "Test CER (+LM)"}]}]}]}
transformers pytorch wav2vec2 automatic-speech-recognition audio hf-asr-leaderboard it mozilla-foundation/common_voice_8_0 speech dataset:mozilla-foundation/common_voice_8_0 license:apache-2.0 model-index endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #audio #hf-asr-leaderboard #it #mozilla-foundation/common_voice_8_0 #speech #dataset-mozilla-foundation/common_voice_8_0 #license-apache-2.0 #model-index #endpoints_compatible #region-us 

# XLS-R-1B-ITALIAN-DOC4LM-5GRAM

## Fine-tuned XLS-R 1B model for speech recognition in Italian

Fine-tuned facebook/wav2vec2-xls-r-1b on Italian using the train and validation splits of Common Voice 8.0, Multilingual TEDx, Multilingual LibriSpeech, and Voxpopuli.

When using this model, make sure that your speech input is sampled at 16kHz.


## Language model information

Our language model was generated using a dataset of Italian wikipedia articles and manual transcriptions of radio newspapers and television programs. 


## Download CommonVoice8.0 dataset for italian language


## Evaluation Commands

To evaluate on 'mozilla-foundation/common_voice_8_0' with split 'test':



If you want to cite this model you can use this:


# XLS-R-1B-ITALIAN-DOC4LM-5GRAM ## Fine-tuned XLS-R 1B model for speech recognition in Italian

Fine-tuned facebook/wav2vec2-xls-r-1b on Italian using the train and validation splits of Common Voice 8.0, Multilingual TEDx, Multilingual LibriSpeech, and Voxpopuli.

When using this model, make sure that your speech input is sampled at 16kHz. ## Language model information

Our language model was generated using a dataset of Italian wikipedia articles and manual transcriptions of radio newspapers and television programs. ## Download CommonVoice8.0 dataset for italian language ## Evaluation Commands

To evaluate on 'mozilla-foundation/common_voice_8_0' with split 'test':



If you want to cite this model you can use this:
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #audio #hf-asr-leaderboard #it #mozilla-foundation/common_voice_8_0 #speech #dataset-mozilla-foundation/common_voice_8_0 #license-apache-2.0 #model-index #endpoints_compatible #region-us 
 # XLS-R-1B-ITALIAN-DOC4LM-5GRAM ## Fine-tuned XLS-R 1B model for speech recognition in Italian

Fine-tuned facebook/wav2vec2-xls-r-1b on Italian using the train and validation splits of Common Voice 8.0, Multilingual TEDx, Multilingual LibriSpeech, and Voxpopuli.

When using this model, make sure that your speech input is sampled at 16kHz. ## Language model information

Our language model was generated using a dataset of Italian wikipedia articles and manual transcriptions of radio newspapers and television programs. ## Download CommonVoice8.0 dataset for italian language ## Evaluation Commands

To evaluate on 'mozilla-foundation/common_voice_8_0' with split 'test':



If you want to cite this model you can use this:
passage: TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #audio #hf-asr-leaderboard #it #mozilla-foundation/common_voice_8_0 #speech #dataset-mozilla-foundation/common_voice_8_0 #license-apache-2.0 #model-index #endpoints_compatible #region-us 
# XLS-R-1B-ITALIAN-DOC4LM-5GRAM## Fine-tuned XLS-R 1B model for speech recognition in Italian

Fine-tuned facebook/wav2vec2-xls-r-1b on Italian using the train and validation splits of Common Voice 8.0, Multilingual TEDx, Multilingual LibriSpeech, and Voxpopuli.

When using this model, make sure that your speech input is sampled at 16kHz.## Language model information

Our language model was generated using a dataset of Italian wikipedia articles and manual transcriptions of radio newspapers and television programs.## Download CommonVoice8.0 dataset for italian language## Evaluation Commands

To evaluate on 'mozilla-foundation/common_voice_8_0' with split 'test':



If you want to cite this model you can use this: