
🇺🇦 Join Ukrainian Speech Recognition Community - https://t.me/speech_recognition_uk

⭐ See other Ukrainian models - https://github.com/egorsmkv/speech-recognition-uk

This model has apostrophes and hyphens.

The language model is 3-gram.

Attribution to the dataset of the language model:

- Chaplynskyi, D. et al. (2021) lang-uk Ukrainian Ubercorpus [Data set]. https://lang.org.ua/uk/corpora/#anchor4

Metrics:

| Dataset | CER | WER |
|-|-|-|
| CV7 (no LM) |  0.0432 | 0.2288 |
| CV7 (with LM) | 0.0251 | 0.118 |
| CV10 (no LM) | 0.0412 | 0.2206 |
| CV10 (with LM) | 0.023 | 0.1081 |

{"language": ["uk"], "license": "cc-by-nc-sa-4.0", "datasets": ["mozilla-foundation/common_voice_10_0"]}
transformers pytorch wav2vec2 automatic-speech-recognition uk dataset:mozilla-foundation/common_voice_10_0 license:cc-by-nc-sa-4.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #uk #dataset-mozilla-foundation/common_voice_10_0 #license-cc-by-nc-sa-4.0 #endpoints_compatible #region-us 

🇺🇦 Join Ukrainian Speech Recognition Community - https://t.me/speech\_recognition\_uk


⭐ See other Ukrainian models - URL


This model has apostrophes and hyphens.


The language model is 3-gram.


Attribution to the dataset of the language model:


* Chaplynskyi, D. et al. (2021) lang-uk Ukrainian Ubercorpus [Data set]. URL


Metrics:


Dataset: CV7 (no LM), CER: 0.0432, WER: 0.2288
Dataset: CV7 (with LM), CER: 0.0251, WER: 0.118
Dataset: CV10 (no LM), CER: 0.0412, WER: 0.2206
Dataset: CV10 (with LM), CER: 0.023, WER: 0.1081



TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #uk #dataset-mozilla-foundation/common_voice_10_0 #license-cc-by-nc-sa-4.0 #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #uk #dataset-mozilla-foundation/common_voice_10_0 #license-cc-by-nc-sa-4.0 #endpoints_compatible #region-us 
