 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 performed 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}, } ```  