| --- |
| license: cc-by-nc-4.0 |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| language: |
| - fr |
| - es |
| - pt |
| - da |
| - de |
| - nl |
| - fy |
| - zh |
| - ja |
| - ar |
| - sw |
| - gn |
| library_name: fairseq |
| --- |
| |
| **HUTTER-12: H(uBERT) UTTER model covering 12 languages.** |
|
|
| * Total training hours: 1,622 from Romance (French: 300h, Spanish: 300h, Portuguese: 102.3h), West-Germanic (Danish: 3.5h, German: 300h, Dutch: 72.1h, Frisian: 41.2h) and other languages (Chinese (zh-CN): 104.6h, Japanese: 37h, Arabic: 61h, Swahili 300h, Guaraní: 0.4h) |
| * Number of updates: 400K |
| * Number of iterations: 3 |
| * Clustering approach: mini-batch K-means (100% of the data) |
| * Dataset: CommonVoice v13 |
|
|
| # Funding |
|
|
| <img src="https://cdn-uploads.huggingface.co/production/uploads/62262e19d36494a6f743a28d/HbzC1C-uHe25ewTy2wyoK.png" width=7% height=7%> |
| This is an output of the European Project UTTER (Unified Transcription and Translation for Extended Reality) under grant number 101070631. For more information go to https://he-utter.eu/ |
|
|
