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  license: cc-by-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - fo
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+ library_name: nemo
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+ datasets:
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+ - carlosdanielhernandezmena/ravnursson_asr
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+ thumbnail: null
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+ tags:
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+ - automatic-speech-recognition
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+ - speech
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+ - audio
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+ - CTC
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+ - pytorch
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+ - NeMo
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+ - QuartzNet
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+ - QuartzNet15x5
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+ - faroese
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+ - faroe islands
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  license: cc-by-4.0
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+ widget:
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+ model-index:
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+ - name: stt_fo_quartznet15x5_sp_ep163_100h
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: Ravnursson Corpus (Test)
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+ type: carlosdanielhernandezmena/ravnursson_asr
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+ split: test
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+ args:
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+ language: fo
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 22.81
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: Ravnursson Corpus (Dev)
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+ type: carlosdanielhernandezmena/ravnursson_asr
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+ split: validation
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+ args:
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+ language: is
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 20.51
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  ---
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+ # stt_fo_quartznet15x5_sp_ep163_100h
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+ **NOTE! This model was trained with the NeMo version: nemo-toolkit==1.10.0**
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+
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+ The "stt_fo_quartznet15x5_sp_ep163_100h" is an acoustic model created with NeMo which is suitable for Automatic Speech Recognition in Faroese.
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+
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+ It is the result of fine-tuning the model ["QuartzNet15x5Base-En.nemo"](https://catalog.ngc.nvidia.com/orgs/nvidia/models/nemospeechmodels/files) with 100 hours of Faroese data developed by the [Ravnur Project](https://maltokni.fo/en/the-ravnur-project) from the Faroe Islands and curated by Carlos Mena during 2022. Most of the data is available at public repositories such as [Clarin.is](http://hdl.handle.net/20.500.12537/276) or [Hugging Face](https://huggingface.co/datasets/carlosdanielhernandezmena/ravnursson_asr).
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+
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+ The specific corpus used to fine-tune the model is:
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+
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+ - [The Ravnursson Corpus: Faroese Speech and Transcripts (100h34m)](http://hdl.handle.net/20.500.12537/276)
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+
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+ The fine-tuning process was perform during November (2022) in the servers of the [Language and Voice Laboratory](https://lvl.ru.is/) at [Reykjavík University](https://en.ru.is/) (Iceland) by Carlos Daniel Hernández Mena.
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+ ```bibtex
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+ @misc{mena2022quartznet15x5faroese,
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+ title={Acoustic Model in Faroese: stt_fo_quartznet15x5_sp_ep163_100h.},
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+ author={Hernandez Mena, Carlos Daniel},
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+ year={2022},
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+ url={https://huggingface.co/carlosdanielhernandezmena/stt_fo_quartznet15x5_sp_ep163_100h},
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+ }
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+ ```
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+
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+ # Acknowledgements
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+
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+ 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.
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+