wav2vec2 large xlsr 53 faroese 100h Paper: ASR Language Resources for Faroese The "wav2vec2 large xlsr 53 faroese 100h" is an acoustic model suitable for Automatic Speech Recognition in Faroese. It is the result of fine tuning the model "facebook/wav2vec2 large xlsr 53" with 100 hours of Faroese data released by the Ravnur Project (https://maltokni.fo/en/) from the Faroe Islands. The specific dataset used to create the model is called "Ravnursson Faroese Speech and Transcripts" and it is available at http://hdl.handle.net/20.500.12537/276. The fine tuning process was perform during November (2022) in the servers of the Language and Voice Lab (https://lvl.ru.is/) at Reykjavík University (Iceland) by Carlos Daniel Hernández Mena. Evaluation Test Result : 0.076 BibTeX entry and citation info When publishing results based on these models please refer to: Acknowledgements We want to thank 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 Educati…
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