Adding info to the README file

README.md

@@ -1,3 +1,160 @@
 ---
+language:
+- is
+library_name: nemo
+datasets:
+- samromur
+- samromur_children
+- malromur
+- althingi
+thumbnail: null
+tags:
+- automatic-speech-recognition
+- speech
+- audio
+- CTC
+- pytorch
+- NeMo
+- QuartzNet
+- QuartzNet15x5
+- icelandic
 license: cc-by-4.0
+widget:
+model-index:
+- name: stt_is_quartznet15x5_ft_ep56_875h
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Samrómur (Test)
+      type: samromur_test
+      split: test
+      args: 
+        language: is
+    metrics:
+    - name: Test WER
+      type: wer
+      value: 28.56
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Samrómur (Dev)
+      type: samromur_dev
+      split: dev
+      args: 
+        language: is
+    metrics:
+    - name: Test WER
+      type: wer
+      value: 25.10
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Samrómur Children (Test)
+      type: samromur_children_test
+      split: test
+      args: 
+        language: is
+    metrics:
+    - name: Test WER
+      type: wer
+      value: 32.51
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Samrómur Children (Dev)
+      type: samromur_children_dev
+      split: dev
+      args: 
+        language: is
+    metrics:
+    - name: Test WER
+      type: wer
+      value: 21.99
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Malrómur (Test)
+      type: malromur_test
+      split: test
+      args: 
+        language: is
+    metrics:
+    - name: Test WER
+      type: wer
+      value: 22.53
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Malrómur (Dev)
+      type: malromur_dev
+      split: dev
+      args: 
+        language: is
+    metrics:
+    - name: Test WER
+      type: wer
+      value: 22.53
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Althingi (Test)
+      type: althingi_test
+      split: test
+      args: 
+        language: is
+    metrics:
+    - name: Test WER
+      type: wer
+      value: 20.74  
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Althingi (Dev)
+      type: althingi_dev
+      split: dev
+      args: 
+        language: is
+    metrics:
+    - name: Test WER
+      type: wer
+      value: 20.68
 ---
+
+# stt_is_quartznet15x5_ft_ep56_875h
+
+**NOTE! This model was trained with the NeMo version: nemo-toolkit==1.10.0**
+
+The "stt_is_quartznet15x5_ft_ep56_875h" is an acoustic model created with NeMo which is suitable for Automatic Speech Recognition in Icelandic. 
+
+It is the result of fine-tuning the model ["QuartzNet15x5Base-En.nemo"](https://catalog.ngc.nvidia.com/orgs/nvidia/models/nemospeechmodels/files) with around 875 hours of Icelandic data developed by the [Language and Voice Laboratory](https://huggingface.co/language-and-voice-lab). Most of the data is available at public repositories such as [LDC](https://www.ldc.upenn.edu/) or [OpenSLR](https://openslr.org/)
+
+The specific list of corpora used to fine-tune the model is:
+
+- [Samrómur 21.05 (114h34m)](http://www.openslr.org/112/)
+- [Samrómur Children (127h25m)](https://catalog.ldc.upenn.edu/LDC2022S11)
+- [Malrómur (119hh03m)](https://clarin.is/en/resources/malromur/)
+- [Althingi Parliamentary Speech (514h29m)](https://catalog.ldc.upenn.edu/LDC2021S01)
+	
+The fine-tuning process was perform during September (2022) in the servers of the Language and Voice Laboratory (https://lvl.ru.is/) at Reykjavík University (Iceland) by Carlos Daniel Hernández Mena.
+
+```bibtex
+@misc{mena2022quartznet15x5icelandic,
+      title={Acoustic Model in Icelandic: stt_is_quartznet15x5_ft_ep56_875h.}, 
+      author={Hernandez Mena, Carlos Daniel},
+      year={2022},
+      url={https://huggingface.co/carlosdanielhernandezmena/stt_is_quartznet15x5_ft_ep56_875h},
+}
+```
+
+# Acknowledgements
+
+Special thanks to Jón Guðnason, head of the Language and Voice Lab for providing computational power to make this model possible. We also want to thank to the "Language Technology Programme for Icelandic 2019-2023" which is managed and coordinated by Almannarómur, and it is funded by the Icelandic Ministry of Education, Science and Culture.