language:
- fo
library_name: nemo
datasets:
- carlosdanielhernandezmena/ravnursson_asr
thumbnail: null
tags:
- automatic-speech-recognition
- speech
- audio
- CTC
- pytorch
- NeMo
- QuartzNet
- QuartzNet15x5
- faroese
- faroe islands
license: cc-by-4.0
model-index:
- name: stt_fo_quartznet15x5_sp_ep163_100h
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Ravnursson Corpus (Test)
type: carlosdanielhernandezmena/ravnursson_asr
split: test
args:
language: fo
metrics:
- name: WER
type: wer
value: 22.81
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Ravnursson Corpus (Dev)
type: carlosdanielhernandezmena/ravnursson_asr
split: validation
args:
language: is
metrics:
- name: WER
type: wer
value: 20.51
stt_fo_quartznet15x5_sp_ep163_100h
Paper: ASR Language Resources for Faroese
NOTE! This model was trained with the NeMo version: nemo-toolkit==1.10.0
The "stt_fo_quartznet15x5_sp_ep163_100h" is an acoustic model created with NeMo which is suitable for Automatic Speech Recognition in Faroese.
It is the result of fine-tuning the model "QuartzNet15x5Base-En.nemo" with 100 hours of Faroese data developed by 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 or Hugging Face.
The specific corpus used to fine-tune the model is:
The fine-tuning process was perform during November (2022) in the servers of the Language and Voice Laboratory at Reykjavík University (Iceland) by Carlos Daniel Hernández Mena.
@misc{mena2022quartznet15x5faroese,
title={Acoustic Model in Faroese: stt\_fo\_quartznet15x5\_sp\_ep163\_100h.},
author={Hernandez Mena, Carlos Daniel},
url={https://huggingface.co/carlosdanielhernandezmena/stt_fo_quartznet15x5_sp_ep163_100h},
year={2022}
}
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.